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Automated Detection of Pancreatic Cancer with Segmentation and Classification Using Fusion of Unet and Cnn Through Spider Monkey Optimization

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-32644-9_36openalex-extracted

Fundamental Concepts of Convolutional Neural Network

inferredcites →https://doi.org/10.1007/978-3-319-91341-4_4openalex-extracted

Spider Monkey Optimization Algorithm

inferredcites →https://doi.org/10.1007/s10472-023-09888-5openalex-extracted

Novel SVM-based classification approaches for evaluating pancreatic carcinoma

inferredcites →https://doi.org/10.1007/s12652-021-03612-zopenalex-extracted

RETRACTED ARTICLE: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda

inferredcites →https://doi.org/10.1016/j.advengsoft.2013.12.007openalex-extracted

Grey Wolf Optimizer

inferredcites →https://doi.org/10.1016/j.advengsoft.2016.01.008openalex-extracted

The Whale Optimization Algorithm

inferredcites →https://doi.org/10.1016/j.bbe.2020.07.011openalex-extracted

Prostate lesion segmentation in MR images using radiomics based deeply supervised U-Net

inferredcites →https://doi.org/10.1016/j.biomaterials.2020.119766openalex-extracted

Matrix decoded – A pancreatic extracellular matrix with organ specific cues guiding human iPSC differentiation

inferredcites →https://doi.org/10.1016/j.compbiomed.2022.106410openalex-extracted

Extension–contraction transformation network for pancreas segmentation in abdominal CT scans

inferredcites →https://doi.org/10.1016/j.gie.2020.04.071openalex-extracted

Deep learning–based pancreas segmentation and station recognition system in EUS: development and validation of a useful training tool (with video)

inferredcites →https://doi.org/10.1016/j.phpro.2012.03.133openalex-extracted

An Improved Median Filtering Algorithm for Image Noise Reduction

inferredcites →https://doi.org/10.1016/j.radonc.2020.01.021openalex-extracted

Auto-segmentation of pancreatic tumor in multi-parametric MRI using deep convolutional neural networks

inferredcites →https://doi.org/10.1038/s41598-021-01470-5openalex-extracted

A wavelet features derived radiomics nomogram for prediction of malignant and benign early-stage lung nodules

inferredcites →https://doi.org/10.1038/s41598-023-36886-8openalex-extracted

Diagnostic ability of deep learning in detection of pancreatic tumour

inferredcites →https://doi.org/10.1088/1361-6560/ab6f99openalex-extracted

Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans

inferredcites →https://doi.org/10.1088/1361-6560/abfbf4openalex-extracted

Anatomy-aided deep learning for medical image segmentation: a review

inferredcites →https://doi.org/10.1109/access.2019.2961125openalex-extracted

Automatic Pancreas Segmentation via Coarse Location and Ensemble Learning

inferredcites →https://doi.org/10.1109/icnn.1995.488968openalex-extracted

Particle swarm optimization

inferredcites →https://doi.org/10.1109/inmic50486.2020.9318104openalex-extracted

Retinal Fundus Image Refinement with Contrast Limited Adaptive Histogram Equalization, Noise Filtration and Intensity Adjustment

inferredcites →https://doi.org/10.1109/jbhi.2020.3023462openalex-extracted

Automatic Pancreas Segmentation in CT Images With Distance-Based Saliency-Aware DenseASPP Network

inferredcites →https://doi.org/10.1109/mci.2006.329691openalex-extracted

Ant colony optimization

inferredcites →https://doi.org/10.1109/rbme.2016.2515127openalex-extracted

Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

inferredcites →https://doi.org/10.1109/tmi.2019.2894349openalex-extracted

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

inferredcites →https://doi.org/10.1117/12.2611580openalex-extracted

CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum

inferredcites →https://doi.org/10.1148/radiol.220152openalex-extracted

Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study

inferredcites →https://doi.org/10.1155/2021/3284493openalex-extracted

A Semiautomated Deep Learning Approach for Pancreas Segmentation

inferredcites →https://doi.org/10.1158/0008-5472.can-17-0339openalex-extracted

Computational Radiomics System to Decode the Radiographic Phenotype

inferredcites →https://doi.org/10.1186/s12880-021-00729-7openalex-extracted

Deep learning-based pancreas volume assessment in individuals with type 1 diabetes

inferredcites →https://doi.org/10.1371/journal.pone.0292785openalex-extracted

CT scan pancreatic cancer segmentation and classification using deep learning and the tunicate swarm algorithm

inferredcites →https://doi.org/10.18201/ijisae.2022.272openalex-extracted

Automatic Pancreas Segmentation using A Novel Modified Semantic Deep Learning Bottom-Up Approach

inferredcites →https://doi.org/10.21037/qims-22-821openalex-extracted

Early prediction of acute pancreatitis severity based on changes in pancreatic and peripancreatic computed tomography radiomics nomogram

inferredcites →https://doi.org/10.3389/fcimb.2022.893294openalex-extracted

Usefulness of Random Forest Algorithm in Predicting Severe Acute Pancreatitis

inferredcites →https://doi.org/10.3390/app10103360openalex-extracted

Automatic Pancreas Segmentation Using Coarse-Scaled 2D Model of Deep Learning: Usefulness of Data Augmentation and Deep U-Net

inferredcites →https://doi.org/10.3390/cancers14215382openalex-extracted

Artificial Intelligence-Driven Diagnosis of Pancreatic Cancer

inferredcites →https://doi.org/10.3390/healthcare10040677openalex-extracted

Intelligent Deep-Learning-Enabled Decision-Making Medical System for Pancreatic Tumor Classification on CT Images

inferredcites →https://doi.org/10.35940/ijitee.g5813.059720openalex-extracted

Machine Learning Method for Pancreatic Cancer Detection using Naïve Bayes and Decision Tree Algorithm

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111347openalex-snapshot

Combating false negatives in pancreatic cancer: A deep learning approach for aiding fine needle aspiration via accurate subregion identification

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