Oncology/Hematology

Colon Cancer

Latest AI and machine learning research in colon cancer for healthcare professionals.

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Use of artificial intelligence to measure colorectal polyp size without a reference object.

BACKGROUND AND STUDY AIMS: Polyp size is crucial for determining colonoscopy surveillance intervals....

Jan 2025 40376021
Prediction of KRAS gene mutations in colorectal cancer using a CT-based radiomic model.

BACKGROUND: Determining the KRAS gene mutation status in colorectal cancer (CRC) before surgery is h...

Jan 2025 40421293
Development of an immune-related gene signature applying Ridge method for improving immunotherapy responses and clinical outcomes in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) is a major cause of cancer mortality. Considering the critica...

Jan 2025 40352269
Microbiota as diagnostic biomarkers: advancing early cancer detection and personalized therapeutic approaches through microbiome profiling.

The important function of microbiota as therapeutic modulators and diagnostic biomarkers in cancer h...

Jan 2025 40406094
Protocol for evaluating the cost-effectiveness of Mongolia's sugar-sweetened beverages tax using double machine learning.

Elevated consumption of sugar-sweetened beverages (SSBs) has been associated with an increase in obe...

Jan 2025 40493559
Identification of miR-20a as a Diagnostic and Prognostic Biomarker in Colorectal Cancer: MicroRNA Sequencing and Machine Learning Analysis.

INTRODUCTION: The differential expression of miRNAs, a key regulator in many cell signaling pathways...

Jan 2025 39318221
SVMVGGNet-16: A Novel Machine and Deep Learning Based Approaches for Lung Cancer Detection Using Combined SVM and VGGNet-16.

BACKGROUND AND OBJECTIVE: Lung cancer remains a leading cause of cancer-related mortality worldwide,...

Jan 2025 39773067
MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for Segmentation of Polyps in Colonoscopy

Objective: To develop a novel deep learning framework for the automated segmentation of colonic po...

QTSeg: A Query Token-Based Dual-Mix Attention Framework with Multi-Level Feature Distribution for Medical Image Segmentation

Medical image segmentation plays a crucial role in assisting healthcare professionals with accurat...

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network

Automatic video polyp segmentation plays a critical role in gastrointestinal cancer screening, but...

Optimal dosing of anti-cancer treatment under drug-induced plasticity

While cancer has traditionally been considered a genetic disease, mounting evidence indicates an i...

SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data

Colorectal cancer (CRC) remains a leading cause of cancer-related deaths worldwide, with polyp rem...

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation

Polyp segmentation in colonoscopy is crucial for detecting colorectal cancer. However, it is chall...

Diagnosis and Severity Assessment of Ulcerative Colitis using Self Supervised Learning

Ulcerative Colitis (UC) is an incurable inflammatory bowel disease that leads to ulcers along the ...

Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation

Accurate medical image segmentation is essential for effective diagnosis and treatment planning bu...

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