Colon cancer diagnosis based on machine learning and deep learning: Modalities and analysis techniques
The treatment and diagnosis of colon cancer are considered to be social and economic
challenges due to the high mortality rates. Every year, around the world, almost half a million …
challenges due to the high mortality rates. Every year, around the world, almost half a million …
Machine learning-based detection of label-free cancer stem-like cell fate
AJ Chambost, N Berabez, O Cochet-Escartin… - Scientific Reports, 2022 - nature.com
The detection of cancer stem-like cells (CSCs) is mainly based on molecular markers or
functional tests giving a posteriori results. Therefore label-free and real-time detection of …
functional tests giving a posteriori results. Therefore label-free and real-time detection of …
Deep neural network for differentiation of brain tumor tissue displayed by confocal laser endomicroscopy
A Ziebart, D Stadniczuk, V Roos, M Ratliff… - Frontiers in …, 2021 - frontiersin.org
Background Reliable on site classification of resected tumor specimens remains a
challenge. Implementation of high-resolution confocal laser endoscopic techniques (CLEs) …
challenge. Implementation of high-resolution confocal laser endoscopic techniques (CLEs) …
[HTML][HTML] Confocal laser endomicroscopy in the diagnosis of biliary and pancreatic disorders: A systematic analysis
SG Krishna, E Coronel, PT Kröner… - Clinical …, 2022 - synapse.koreamed.org
Methods We conducted a systematic review of CLE in pancreatic and biliary ducts of
humans, and have provided a narrative of the technique, image classification, diagnostic …
humans, and have provided a narrative of the technique, image classification, diagnostic …
[HTML][HTML] Advanced colon cancer detection: Integrating context-aware multi-image fusion (Camif) in a multi-stage framework
MVR Vittal - Egyptian Informatics Journal, 2025 - Elsevier
Colon cancer begins in the large intestine, often evolving from benign polyps into malignant
cancer. Early detection through screening is vital for effective treatment and better survival …
cancer. Early detection through screening is vital for effective treatment and better survival …
Colorectal Cancer Recognition Using Deep Learning on Histopathology Images
Colorectal Cancer (CRC) is a prevalent and deadly disease, and accurate and timely
diagnosis is essential for improving patient outcomes. The use of deep learning in medical …
diagnosis is essential for improving patient outcomes. The use of deep learning in medical …
Machine learning predicts metastatic progression using novel differentially expressed lncRNAs as potential markers in pancreatic cancer
H Alsharoh - medRxiv, 2023 - medrxiv.org
Pancreatic cancer (PC) is associated with high mortality overall. Recent literature has
focused on investigating long noncoding RNAs (lncRNAs) in several cancers, but studies on …
focused on investigating long noncoding RNAs (lncRNAs) in several cancers, but studies on …
Deep Learning-Based Multi-state Colorectal Cancer Histological Image Classification
H Kaur, A Kumar, VK Attri - … on Women Researchers in Electronics and …, 2023 - Springer
Colorectal carcinoma is one of the most prevalent cancers of intestinal tract. Globally, it is the
second biggest reason in cancer-associated deaths. A swift diagnosis is required to …
second biggest reason in cancer-associated deaths. A swift diagnosis is required to …
[PDF][PDF] Confocal Laser Endomicroscopy in the Diagnosis of Biliary and Pancreatic Disorders: A Systematic Analysis
SG Do Han Kim, E Coronel, PT Kröner, HC Wolfsen… - 2021 - pdfs.semanticscholar.org
Background/Aims: Endoscopic visualization of the microscopic anatomy can facilitate the
real-time diagnosis of pancreatobiliary disorders and provide guidance for its treatment. This …
real-time diagnosis of pancreatobiliary disorders and provide guidance for its treatment. This …