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A review of the application of deep learning in medical image classification and segmentation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Deep learning
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Fully convolutional networks for semantic segmentation
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Pyramid Scene Parsing Network
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Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images
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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
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Fully Convolutional Networks for Semantic Segmentation
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Automated histological classification of whole slide images of colorectal biopsy specimens
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A review of the application of deep learning in medical image classification and segmentation
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Automatic Detection and Classification of Breast Tumors in Ultrasonic Images Using Texture and Morphological Features
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Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning
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Fully Convolutional Networks for Semantic Segmentation
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Dynamic ultrasound motion metrics combined with deep learning for clinical differentiation of subacromial impingement syndrome
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Augmented reality navigation with ultrasound-assisted point cloud registration for percutaneous ablation of liver tumors
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Hyperparameter-optimized Cross Patch Attention (CPAM) UNET for accurate ischemia and hemorrhage segmentation in CT images
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Knowledge-enhanced medical image classification via descriptive priors from large language models
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MICRO2D: A Large, Statistically Diverse, Heterogeneous Microstructure Dataset
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A stereo spatial decoupling network for medical image classification
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Transfer Learning-Based Class Imbalance-Aware Shoulder Implant Classification from X-Ray Images
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sMRI based Hybrid Framework of Light Weight Deep Learning and Ensemble Machine Learning Model for Autism Spectrum Disorder Detection
inferred← citeshttps://doi.org/10.1007/s43188-025-00326-8openalex-snapshot
Artificial intelligence‑based quantitative analysis of hepatic fibrosis in carbon tetrachloride-induced mouse model of metabolic dysfunction-associated steatohepatitis
inferred← citeshttps://doi.org/10.1007/s44163-026-01265-5openalex-snapshot
A bibliometric network and content analysis of deep learning research within artificial intelligence from 2019 to 2025
inferred← citeshttps://doi.org/10.1007/s44163-026-01915-8openalex-snapshot
Homomorphic approximation of non-linear activation functions using the CKKS cryptosystem of the OpenFHE library
inferred← citeshttps://doi.org/10.1007/s44230-024-00070-6openalex-snapshot
A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI
inferred← citeshttps://doi.org/10.1016/b978-0-44-340553-2.00008-3openalex-snapshot
Foundational approaches to post-hoc explainability for image classification
inferred← citeshttps://doi.org/10.1016/b978-0-443-16001-1.00018-8openalex-snapshot
Advances in artificial vision techniques applied to non-destructive tests in heritage buildings
inferred← citeshttps://doi.org/10.1016/b978-0-443-18450-5.00014-1openalex-snapshot
Brain hemorrhage detection using computed tomography images and deep learning
inferred← citeshttps://doi.org/10.1016/j.acra.2024.09.052openalex-snapshot
Deep Learning Using One-stop-shop CT Scan to Predict Hemorrhagic Transformation in Stroke Patients Undergoing Reperfusion Therapy: A Multicenter Study
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110607openalex-snapshot
Fourier Transform Layer: A proof of work in different training scenarios
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.112771openalex-snapshot
Multi-modal deep learning for credit rating prediction using text and numerical data streams
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.112889openalex-snapshot
An ensemble deep learning network based on 2D convolutional neural network and 1D LSTM with self-attention for bearing fault diagnosis
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104658openalex-snapshot
Deep learning model for automated detection of efflorescence and its possible treatment in images of brick facades
inferred← citeshttps://doi.org/10.1016/j.autrev.2021.102864openalex-snapshot
Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: Where do we stand?
inferred← citeshttps://doi.org/10.1016/j.bbe.2021.06.006openalex-snapshot
Prediction of drug response in major depressive disorder using ensemble of transfer learning with convolutional neural network based on EEG
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.103513openalex-snapshot
Reconstruction of central arterial pressure waveform based on CNN-BILSTM
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104138openalex-snapshot
PsLSNetV2: End to end deep learning system for measurement of area score of psoriasis regions in color images
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104167openalex-snapshot
MShNet: Multi-scale feature combined with h-network for medical image segmentation
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104181openalex-snapshot
Pathological image classification via embedded fusion mutual learning
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105533openalex-snapshot
Full resolution convolutional neural network based organ and surgical instrument classification on laparoscopic image data
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106141openalex-snapshot
Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106197openalex-snapshot
An approach of polyp segmentation from colonoscopy images using Dilated-U-Net-Seg – A deep learning network
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106660openalex-snapshot
Generating synthesized computed tomography from CBCT/LDCT using a novel Generative-Transformer Adversarial-CNN
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106869openalex-snapshot
Morphology classification of malaria infected red blood cells using deep learning techniques
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108709openalex-snapshot
MDCT-Unet: A dual-encoder network combining multi-scale dilated convolutions with Transformer for medical image segmentation
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.109023openalex-snapshot
Assessment of tibial shaft fracture healing using two-stage deep learning based on mRUST
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.109485openalex-snapshot
DP-UNet: Dual branch attention multi-layer encoder and progressive fused pyramid pooling network for COVID-19 infection region segmentation
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110370openalex-snapshot
Multimodal image registration for enhancing medical images diagnosis using deep learning
inferred← citeshttps://doi.org/10.1016/j.cmpb.2024.108201openalex-snapshot
Robust tracking of deformable anatomical structures with severe occlusions using deformable geometrical primitives
inferred← citeshttps://doi.org/10.1016/j.cmpb.2025.109016openalex-snapshot
VariMix: A variety-guided data mixing framework for explainable medical image classifications
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109464openalex-snapshot
Detection of color phenotype in strawberry germplasm resources based on field robot and semantic segmentation
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104849openalex-snapshot
Improvement of automatic ischemic stroke lesion segmentation in CT perfusion maps using a learned deep neural network
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.106484openalex-snapshot
A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.106538openalex-snapshot
MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.106856openalex-snapshot
A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.106998openalex-snapshot
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.107741openalex-snapshot
FHUSP-NET: A Multi-task model for fetal heart ultrasound standard plane recognition and key anatomical structures detection
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.109571openalex-snapshot
Novel dilation-erosion labeling technique allows for rapid, accurate and adjustable alignment measurements in primary TKA
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.109822openalex-snapshot
An improved feature extraction algorithm for robust Swin Transformer model in high-dimensional medical image analysis
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.110167openalex-snapshot
Eigenhearts: Cardiac diseases classification using eigenfaces approach
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.110501openalex-snapshot
Advancing respiratory disease diagnosis: A deep learning and vision transformer-based approach with a novel X-ray dataset
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.111177openalex-snapshot
A systematic review on automatic segmentation of renal tumors and cysts using various convolutional neural network architectures in radiological images
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2025.102573openalex-snapshot
A segmentation network based on CNNs for identifying laryngeal structures in video laryngoscope images
inferred← citeshttps://doi.org/10.1016/j.crad.2023.04.015openalex-snapshot
Differentiation between normal and abnormal kidneys using 99mTc-DMSA SPECT with deep learning in paediatric patients
inferred← citeshttps://doi.org/10.1016/j.csbj.2025.10.063openalex-snapshot
Pathway-guided architectures for interpretable AI in biological research
inferred← citeshttps://doi.org/10.1016/j.ejrad.2021.110069openalex-snapshot
Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020
inferred← citeshttps://doi.org/10.1016/j.ejro.2026.100747openalex-snapshot
Machine learning and deep learning models for predicting colorectal cancer metastases: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111358openalex-snapshot
A convolutional neural network-enhanced attack detection framework with explainable artificial intelligence for internet of things-based metaverse security
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121297openalex-snapshot
FDTR: Weakening feature disparity transformer for accurate multicategory computed tomography image segmentation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.123056openalex-snapshot
A novel end-to-end deep convolutional neural network based skin lesion classification framework
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126727openalex-snapshot
MFAR-Net: Multi-level feature interaction and Dual-Dimension adaptive reinforcement network for breast lesion segmentation in ultrasound images
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127319openalex-snapshot
EVADE: A novel method to detect adversarial and OOD samples in Medical Image Segmentation
inferred← citeshttps://doi.org/10.1016/j.euros.2024.02.005openalex-snapshot
Deep Learning Model for Real‑time Semantic Segmentation During Intraoperative Robotic Prostatectomy
inferred← citeshttps://doi.org/10.1016/j.fuel.2025.135615openalex-snapshot
Impact of mixed coal ash properties on heat transfer tubes in pulverized coal Co-Firing Boilers: A shape classification approach to fly ash in the secondary superheater zone
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e21203openalex-snapshot
Convolutional neural network-based classification and monitoring models for lung cancer detection: 3D perspective approach
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e26942openalex-snapshot
Detection of activities in bathrooms through deep learning and environmental data graphics images
inferred← citeshttps://doi.org/10.1016/j.heliyon.2025.e44066openalex-snapshot
Self-attention driven transfer learnt deep neural network for improved lung cancer detection from radiographic images
inferred← citeshttps://doi.org/10.1016/j.ibmed.2025.100210openalex-snapshot
V-NET-VGG16: Hybrid deep learning architecture for optimal segmentation and classification of multi-differentiated liver tumors
inferred← citeshttps://doi.org/10.1016/j.ibmed.2025.100230openalex-snapshot
Deep learning based detection of endometriosis lesions in laparoscopic images with 5-fold cross-validation
inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2024.107271openalex-snapshot
A U-net segmentation model for predicting free convection over confined isothermal tubes
inferred← citeshttps://doi.org/10.1016/j.imed.2022.06.003openalex-snapshot
A hybrid network integrating convolution and transformer for thymoma segmentation
inferred← citeshttps://doi.org/10.1016/j.imu.2021.100709openalex-snapshot
COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103934openalex-snapshot
A hybrid feature fusion deep learning framework for multi-source medical image analysis
inferred← citeshttps://doi.org/10.1016/j.iswa.2026.200709openalex-snapshot
Explainable artificial intelligence: An expanded taxonomy by mechanism and interpretability perspectives
inferred← citeshttps://doi.org/10.1016/j.jestch.2022.101174openalex-snapshot
An automatic skin lesion segmentation system with hybrid FCN-ResAlexNet
inferred← citeshttps://doi.org/10.1016/j.jmapro.2024.03.098openalex-snapshot
Geometrically-informed predictive modeling of melt pool depth in laser powder bed fusion using deep MLP-CNN and metadata integration
inferred← citeshttps://doi.org/10.1016/j.jrras.2023.100635openalex-snapshot
Application of deep learning-based CT texture analysis in TNM staging of gastric cancer
inferred← citeshttps://doi.org/10.1016/j.jrras.2024.100892openalex-snapshot
Thermal radiation of tongue surface as a human computer interaction diagnostics technique based on image classification with software interface
inferred← citeshttps://doi.org/10.1016/j.jvcir.2023.103856openalex-snapshot
A Dual-Decoding branch U-shaped semantic segmentation network combining Transformer attention with Decoder: DBUNet
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116371openalex-snapshot
MH-DNT: Noise-robust model-heterogeneous federated learning for medical image classification via dual noise tolerance
inferred← citeshttps://doi.org/10.1016/j.measurement.2023.112687openalex-snapshot
Fast inspection and accurate recognition of target objects for astronaut robots through deep learning
inferred← citeshttps://doi.org/10.1016/j.media.2022.102417openalex-snapshot
Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification
inferred← citeshttps://doi.org/10.1016/j.media.2023.102973openalex-snapshot
A deep weakly semi-supervised framework for endoscopic lesion segmentation
inferred← citeshttps://doi.org/10.1016/j.media.2024.103107openalex-snapshot
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization
inferred← citeshttps://doi.org/10.1016/j.media.2024.103229openalex-snapshot
Hierarchical online contrastive anomaly detection for fetal arrhythmia diagnosis in ultrasound
inferred← citeshttps://doi.org/10.1016/j.media.2025.103454openalex-snapshot
Strategies for generating synthetic computed tomography-like imaging from radiographs: A scoping review
inferred← citeshttps://doi.org/10.1016/j.media.2025.103863openalex-snapshot
Openness-aware multi-prototype learning for open set medical diagnosis
inferred← citeshttps://doi.org/10.1016/j.mineng.2023.108433openalex-snapshot
A review of deep learning in image classification for mineral exploration
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129182openalex-snapshot
Optimized deep learning model for comprehensive medical image analysis across multiple modalities
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107386openalex-snapshot
Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108182openalex-snapshot
Elevating adversarial robustness by contrastive multitasking defence in medical image segmentation
inferred← citeshttps://doi.org/10.1016/j.neuri.2021.100028openalex-snapshot
Systematic review of smart health monitoring using deep learning and Artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.neuri.2025.100249openalex-snapshot
15 Years of optimizers in medical deep learning: A systematic review
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2021.118007openalex-snapshot
Metabolic connectivity-based single subject classification by multi-regional linear approximation in the rat
inferred← citeshttps://doi.org/10.1016/j.optlastec.2023.109916openalex-snapshot
Adaptive transfer learning-based cryptanalysis on double random phase encoding
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114270openalex-snapshot
CPLN: Consistent pseudo-label noise learning for semi-supervised medical image classification
inferred← citeshttps://doi.org/10.1016/j.patrec.2024.01.012openalex-snapshot
EIGAN: An explicitly and implicitly feature-aligned GAN for degraded image classification
inferred← citeshttps://doi.org/10.1016/j.renene.2024.120152openalex-snapshot
Study on crack monitoring method of wind turbine blade based on AI model: Integration of classification, detection, segmentation and fault level evaluation
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.104143openalex-snapshot
A novel data augmentation tool for enhancing machine learning classification: A new application of the higher order dynamic mode decomposition for improved cardiac disease identification
inferred← citeshttps://doi.org/10.1016/j.rvsc.2025.105703openalex-snapshot
LiDSCUNet++: A lightweight depth separable convolutional UNet++ for vertebral column segmentation and spondylosis detection
inferred← citeshttps://doi.org/10.1016/j.schres.2023.09.010openalex-snapshot
Automatic identification of schizophrenia employing EEG records analyzed with deep learning algorithms
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