A comprehensive review of deep learning in colon cancer
Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …
attracted attention with its achievements in progressing medical image analysis …
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
In recent years, colorectal cancer has become one of the most significant diseases that
endanger human health. Deep learning methods are increasingly important for the …
endanger human health. Deep learning methods are increasingly important for the …
Framework for detecting breast cancer risk presence using deep learning
Cancer is a complicated global health concern with a significant fatality rate. Breast cancer is
among the leading causes of mortality each year. Advancements in prognoses have been …
among the leading causes of mortality each year. Advancements in prognoses have been …
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
D Albashish - PeerJ Computer Science, 2022 - peerj.com
Deep convolutional neural networks (CNN) manifest the potential for computer-aided
diagnosis systems (CADs) by learning features directly from images rather than using …
diagnosis systems (CADs) by learning features directly from images rather than using …
SnapEnsemFS: a snapshot ensembling-based deep feature selection model for colorectal cancer histological analysis
Colorectal cancer is the third most common type of cancer diagnosed annually, and the
second leading cause of death due to cancer. Early diagnosis of this ailment is vital for …
second leading cause of death due to cancer. Early diagnosis of this ailment is vital for …
[HTML][HTML] Automated diagnosis of various gastrointestinal lesions using a deep learning–based classification and retrieval framework with a large endoscopic database …
Background The early diagnosis of various gastrointestinal diseases can lead to effective
treatment and reduce the risk of many life-threatening conditions. Unfortunately, various …
treatment and reduce the risk of many life-threatening conditions. Unfortunately, various …
Multi-branch convolutional neural networks with integrated cross-entropy for fault diagnosis in diesel engines
H Zhao, Z Mao, J Zhang, X Zhang… - Measurement Science …, 2021 - iopscience.iop.org
Fault diagnosis based on deep learning has become a hot research topic because of the
successful application of deep learning in other fields. Due to variable operating conditions …
successful application of deep learning in other fields. Due to variable operating conditions …
[HTML][HTML] Generalized deep learning for histopathology image classification using supervised contrastive learning
Introduction Cancer is a leading cause of death worldwide, necessitating effective diagnostic
tools for early detection and treatment. Histopathological image analysis is crucial for cancer …
tools for early detection and treatment. Histopathological image analysis is crucial for cancer …
Colon cancer classification of histopathological images using data augmentation
Classification of colon cancer has great importance in medical diagnosis. An accurate and
real-time investigation provides medical experts to review typical treatment timely …
real-time investigation provides medical experts to review typical treatment timely …
[PDF][PDF] Colorectal Cancer Disease Classification and Segmentation Using A Novel Deep Learning Approach.
In the world, with a death rate of about 35% of colorectal cancer aids as the most
widespread type of tumor. The third most commonly diagnosed cancer compared to breast …
widespread type of tumor. The third most commonly diagnosed cancer compared to breast …