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Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

https://doi.org/10.1109/tmi.2015.2458702

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What this work says

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inferred← citeshttps://doi.org/10.1007/s11280-017-0520-7openalex-snapshot

Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks

inferred← citeshttps://doi.org/10.1007/s11517-018-1906-0openalex-snapshot

Automatic cell segmentation in histopathological images via two-staged superpixel-based algorithms

inferred← citeshttps://doi.org/10.1007/s11517-019-02008-8openalex-snapshot

A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images

inferred← citeshttps://doi.org/10.1007/s11517-023-02947-3openalex-snapshot

Nuclei detection in breast histopathology images with iterative correction

inferred← citeshttps://doi.org/10.1007/s11548-017-1663-9openalex-snapshot

Breast cancer cell nuclei classification in histopathology images using deep neural networks

inferred← citeshttps://doi.org/10.1007/s11548-018-1835-2openalex-snapshot

Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks

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Deep learning in digital pathology image analysis: a survey

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In silico prediction methods of self-interacting proteins: an empirical and academic survey

inferred← citeshttps://doi.org/10.1007/s11760-019-01429-0openalex-snapshot

Coherence-regularized discriminative dictionary learning for histopathological image classification

inferred← citeshttps://doi.org/10.1007/s11831-020-09470-wopenalex-snapshot

Breast Cancer Detection, Segmentation and Classification on Histopathology Images Analysis: A Systematic Review

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Outbreak COVID-19 in Medical Image Processing Using Deep Learning: A State-of-the-Art Review

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A Systematic Review on Breast Cancer Detection Using Deep Learning Techniques

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From Conventional Approach to Machine Learning and Deep Learning Approach: An Experimental and Comprehensive Review of Image Fusion Techniques

inferred← citeshttps://doi.org/10.1007/s11831-025-10372-yopenalex-snapshot

Breast Cancerous Tumor Classification: A Comparative Analysis of Machine Learning and Deep Learning on Different Datasets

inferred← citeshttps://doi.org/10.1007/s12065-018-0186-9openalex-snapshot

Automated soil prediction using bag-of-features and chaotic spider monkey optimization algorithm

inferred← citeshttps://doi.org/10.1007/s12065-019-00213-wopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s12065-021-00564-3openalex-snapshot

Sub-classification of invasive and non-invasive cancer from magnification independent histopathological images using hybrid neural networks

inferred← citeshttps://doi.org/10.1007/s12559-022-10000-yopenalex-snapshot

OIAE: Overall Improved Autoencoder with Powerful Image Reconstruction and Discriminative Feature Extraction

inferred← citeshttps://doi.org/10.1007/s12559-023-10238-0openalex-snapshot

Feature Analysis Network: An Interpretable Idea in Deep Learning

inferred← citeshttps://doi.org/10.1007/s12672-025-02212-zopenalex-snapshot

The current landscape of artificial intelligence in computational histopathology for cancer diagnosis

inferred← citeshttps://doi.org/10.1007/s13042-017-0677-5openalex-snapshot

A novel electrocardiogram arrhythmia classification method based on stacked sparse auto-encoders and softmax regression

inferred← citeshttps://doi.org/10.1007/s13369-016-2387-9openalex-snapshot

Diagnosis of Focal Liver Diseases Based on Deep Learning Technique for Ultrasound Images

inferred← citeshttps://doi.org/10.1007/s13369-020-05044-xopenalex-snapshot

Leveraging ANN and LDA Classifiers for Characterizing Different Hand Movements Using EMG Signals

inferred← citeshttps://doi.org/10.1007/s13534-020-00168-3openalex-snapshot

Automated recognition of white blood cells using deep learning

inferred← citeshttps://doi.org/10.1007/s13721-025-00649-4openalex-snapshot

DeepRNN-CNN ensemble with optimized segmentation and hybrid feature selection for improved breast cancer detection

inferred← citeshttps://doi.org/10.1007/s40031-022-00745-3openalex-snapshot

Histopathology Breast Cancer Detection and Classification using Optimized Superpixel Clustering Algorithm and Support Vector Machine

inferred← citeshttps://doi.org/10.1007/s42452-020-03460-0openalex-snapshot

Single stuck-at-faults detection using test generation vector and deep stacked-sparse-autoencoder

inferred← citeshttps://doi.org/10.1007/s44564-026-00013-2openalex-snapshot

A hierarchical pipeline for preprocessing and classification of breast histopathology images into benign and malignant

inferred← citeshttps://doi.org/10.1016/b978-0-12-810408-8.00011-0openalex-snapshot

Deep Learning Tissue Segmentation in Cardiac Histopathology Images

inferred← citeshttps://doi.org/10.1016/b978-0-12-812133-7.00010-7openalex-snapshot

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Visual feature representation in microscopy image classification

inferred← citeshttps://doi.org/10.1016/b978-0-12-816034-3.00005-5openalex-snapshot

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Deep multilevel contextual networks for biomedical image segmentation

inferred← citeshttps://doi.org/10.1016/b978-0-12-821259-2.00011-9openalex-snapshot

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Artificial intelligence and the interplay between tumor and immunity

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Overview of the role of artificial intelligence in pathology: the computer as a pathology digital assistant

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Deep Learning applied to computational biology and agricultural sciences

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Nanotechnology in biological science and engineering

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Overview of the role of artificial intelligence in pathology: The computer as a pathology digital assistant

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Deep learning architectures in computer vision based medical imaging applications with emerging challenges

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Cancer survival prediction using artificial intelligence: current status and future prospects

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Deep Learning in Bioinformatics

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Autoencoder-Based fault detection using building automation system data

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Cycle life test optimization for different Li-ion power battery formulations using a hybrid remaining-useful-life prediction method

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Ophthalmic diagnosis using deep learning with fundus images – A critical review

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A case-based ensemble learning system for explainable breast cancer recurrence prediction

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Multi-feature representation for burn depth classification via burn images

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Global and local attentional feature alignment for domain adaptive nuclei detection in histopathology images

inferred← citeshttps://doi.org/10.1016/j.artmed.2023.102626openalex-snapshot

Applying dual models on optimized LSTM with U-net segmentation for breast cancer diagnosis using mammogram images

inferred← citeshttps://doi.org/10.1016/j.asoc.2019.105642openalex-snapshot

Computer aided tool for automatic detection and delineation of nucleus from oral histopathology images for OSCC screening

inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106759openalex-snapshot

Deep transfer with minority data augmentation for imbalanced breast cancer dataset

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Deep learning with small datasets: using autoencoders to address limited datasets in construction management

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Breast cancer intelligent analysis of histopathological data: A systematic review

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A hybrid model of stacked autoencoder and modified particle swarm optimization for multivariate chaotic time series forecasting

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Parallel ‘same’ and ‘valid’ convolutional block and input-collaboration strategy for histopathological image classification

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Deep learning: Historical overview from inception to actualization, models, applications and future trends

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Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology

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Breast cancer detection from histopathology images using modified residual neural networks

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A hybrid lightweight breast cancer classification framework using the histopathological images

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Nanobiotechnology in health sciences: Current applications and future perspectives

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Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification

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Improving geometric P-norm-based glioma segmentation through deep convolutional autoencoder encapsulation

inferred← citeshttps://doi.org/10.1016/j.bspc.2021.103276openalex-snapshot

A region-based convolutional network for nuclei detection and segmentation in microscopy images

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104570openalex-snapshot

Shuffled Shepherd Deer Hunting Optimization based Deep Neural Network for Breast Cancer Classification using Breast Histopathology Images

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104701openalex-snapshot

Patient specific higher order tensor based approach for the detection and localization of myocardial infarction using 12-lead ECG

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104914openalex-snapshot

Autism spectrum disorder classification using Adam war strategy optimization enabled deep belief network

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DSCA-Net: Double-stage Codec Attention Network for automatic nuclear segmentation

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A reliable breast cancer diagnosis approach using an optimized deep learning and conformal prediction

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A self-supervised learning-based dual-branch network for semantic segmentation of H&E stained images

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108789openalex-snapshot

Paralleformer: An efficient parallel Transformer algorithm for pathological images classification of chondroblastoma and giant cell tumor of bone

inferred← citeshttps://doi.org/10.1016/j.cag.2021.04.037openalex-snapshot

InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification

inferred← citeshttps://doi.org/10.1016/j.cegh.2018.12.004openalex-snapshot

Type 2 diabetes data classification using stacked autoencoders in deep neural networks

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A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes

inferred← citeshttps://doi.org/10.1016/j.cma.2020.113516openalex-snapshot

Statistical characterization and reconstruction of heterogeneous microstructures using deep neural network

inferred← citeshttps://doi.org/10.1016/j.cmpb.2018.10.004openalex-snapshot

A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq data

inferred← citeshttps://doi.org/10.1016/j.cmpb.2019.03.007openalex-snapshot

A dense multi-path decoder for tissue segmentation in histopathology images

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Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia

inferred← citeshttps://doi.org/10.1016/j.cmpb.2020.105528openalex-snapshot

Automated gleason grading on prostate biopsy slides by statistical representations of homology profile

inferred← citeshttps://doi.org/10.1016/j.cmpb.2023.107695openalex-snapshot

ProGleason-GAN: Conditional progressive growing GAN for prostatic cancer Gleason grade patch synthesis

inferred← citeshttps://doi.org/10.1016/j.cmpb.2026.109464openalex-snapshot

DS-MTNet: A dual-stream multi-task network for histopathology localization and histologic risk stratification from small biopsy specimens of bladder cancer

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104543openalex-snapshot

MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104782openalex-snapshot

Two-phase non-invasive multi-disease detection via sublingual region

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105281openalex-snapshot

Multi-level feature fusion for nucleus detection in histology images using correlation filters

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105520openalex-snapshot

Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images

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