Cover Image

Unmasking Biases and Reliability Concerns in Convolutional Neural Networks Analysis of Cancer Pathology Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Okonoda, Michael, Martinez, Eder, Dalal, Abhilekha, Shamir, Lior
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data
by: García-Ordás, María Teresa, et al.
Published: (2024)

Adaptive Convolutional Neural Network for Image Super-resolution
by: Wu, Ziang, et al.
Published: (2024)

CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images
by: Jin, Yuan, et al.
Published: (2024)

A comprehensive study on Blood Cancer detection and classification using Convolutional Neural Network
by: Ahad, Md Taimur, et al.
Published: (2024)

Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
by: Yan, Hao, et al.
Published: (2024)

EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
by: Iqbal, Shahzaib, et al.
Published: (2024)

Patch Stitching Data Augmentation for Cancer Classification in Pathology Images
by: Wang, Jiamu, et al.
Published: (2025)

A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection
by: Ahad, Md Taimur, et al.
Published: (2024)

FECT: Classification of Breast Cancer Pathological Images Based on Fusion Features
by: Hao, Jiacheng, et al.
Published: (2025)

CoordGate: Efficiently Computing Spatially-Varying Convolutions in Convolutional Neural Networks
by: Howard, Sunny, et al.
Published: (2024)

PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images
by: Luo, Yang, et al.
Published: (2025)

DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images
by: Lee, Ju Cheon, et al.
Published: (2024)

Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
by: Hu, Shuai, et al.
Published: (2024)

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis
by: Deng, Ruining, et al.
Published: (2024)

Classification of Prostate Cancer in 3D Magnetic Resonance Imaging Data based on Convolutional Neural Networks
by: Rippa, Malte, et al.
Published: (2024)

MrRegNet: Multi-resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations
by: Li, Ruizhe, et al.
Published: (2024)

A design of Convolutional Neural Network model for the Diagnosis of the COVID-19
by: Song, Xinyuan
Published: (2023)

Computer Aided Detection and Classification of mammograms using Convolutional Neural Network
by: Ishaq, Kashif, et al.
Published: (2024)

Short-Time Fourier Transform for deblurring Variational Autoencoders
by: Dalal, Vibhu
Published: (2024)

Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
by: Jiang, Songhan, et al.
Published: (2024)

A System for Accurate Tracking and Video Recordings of Rodent Eye Movements using Convolutional Neural Networks for Biomedical Image Segmentation
by: Puri, Isha, et al.
Published: (2025)

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)

Enhancing Radiology Diagnosis through Convolutional Neural Networks for Computer Vision in Healthcare
by: K., Keshav Kumar, et al.
Published: (2023)

Optical Character Recognition using Convolutional Neural Networks for Ashokan Brahmi Inscriptions
by: Agrawal, Yash, et al.
Published: (2024)

Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising
by: Ataei, Sepehr, et al.
Published: (2020)

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
by: Helm, Kimberly, et al.
Published: (2024)

Direct Kernel Optimization: Efficient Design for Opto-Electronic Convolutional Neural Networks
by: Almuallem, Ali, et al.
Published: (2025)

On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
by: Maani, Fadillah, et al.
Published: (2024)

Optimization of Convolutional Neural Network Hyperparameter for Medical Image Diagnosis using Metaheuristic Algorithms: A short Recent Review (2019-2022)
by: Hamad, Qusay Shihab, et al.
Published: (2024)

Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
by: Faria, Fatema Tuj Johora, et al.
Published: (2024)

New Insight in Cervical Cancer Diagnosis Using Convolution Neural Network Architecture
by: Khozaimi, Ach., et al.
Published: (2024)

Explainable AI Technique in Lung Cancer Detection Using Convolutional Neural Networks
by: Rai, Nishan, et al.
Published: (2025)

Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction
by: Tai, Chi-en Amy, et al.
Published: (2024)

Pathology Image Restoration via Mixture of Prompts
by: Cai, Jiangdong, et al.
Published: (2025)

Pathology Image Compression with Pre-trained Autoencoders
by: Yellapragada, Srikar, et al.
Published: (2025)

GPC: Generative and General Pathology Image Classifier
by: Nguyen, Anh Tien, et al.
Published: (2024)

Comparing ImageNet Pre-training with Digital Pathology Foundation Models for Whole Slide Image-Based Survival Analysis
by: Papadopoulos, Kleanthis Marios, et al.
Published: (2024)

Perception and Localization of Macular Degeneration Applying Convolutional Neural Network, ResNet and Grad-CAM
by: Hossain, Tahmim, et al.
Published: (2024)

Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network
by: Jain, Rohit Kumar, et al.
Published: (2021)

Using a Convolutional Neural Network and Explainable AI to Diagnose Dementia Based on MRI Scans
by: Morris, Tyler, et al.
Published: (2024)