Oncology/Hematology

Colon Cancer

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

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Showing 1849-1869 of 2,803 articles
LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images

Colorectal cancer (CRC) is a major global cause of cancer-related deaths, with early polyp detecti...

Construction and validation of machine learning-based predictive model for colorectal polyp recurrence one year after endoscopic mucosal resection.

BACKGROUND: Colorectal polyps are precancerous diseases of colorectal cancer. Early detection and re...

Mar 2025 40124266
Mapping intellectual structure and research hotspots of cancer studies in primary health care: A machine-learning-based analysis.

In the contemporary fight against cancer, primary health care (PHC) services hold a significant and ...

Mar 2025 40128045
xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion

Object discovery, which refers to the task of localizing objects without human annotations, has ga...

3D Densification for Multi-Map Monocular VSLAM in Endoscopy

Multi-map Sparse Monocular visual Simultaneous Localization and Mapping applied to monocular endos...

Toward a Human-Centered AI-assisted Colonoscopy System in Australia

While AI-assisted colonoscopy promises improved colorectal cancer screening, its success relies on...

Internet of Things-Based Smart Precision Farming in Soilless Agriculture: Opportunities and Challenges for Global Food Security

The rapid growth of the global population and the continuous decline in cultivable land pose signi...

AI-assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT

Pancreatic ductal adenocarcinoma (PDAC) is one of the most common and aggressive types of pancreat...

Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models

Large-scale vision models like SAM have extensive visual knowledge, yet their general nature and c...

Accurate, Robust, and Scalable Machine Abstraction of Mayo Endoscopic Subscores From Colonoscopy Reports.

BACKGROUND: The Mayo endoscopic subscore (MES) is an important quantitative measure of disease activ...

Mar 2025 38533919
Predicting Neoplastic Polyp in Patients With Gallbladder Polyps Using Interpretable Machine Learning Models: Retrospective Cohort Study.

OBJECTIVE: Gallbladder polyps (GBPs) are increasingly prevalent, with the majority being benign; how...

Mar 2025 40052528
EndoPBR: Material and Lighting Estimation for Photorealistic Surgical Simulations via Physically-based Rendering

The lack of labeled datasets in 3D vision for surgical scenes inhibits the development of robust 3...

Test-Time Modality Generalization for Medical Image Segmentation

Generalizable medical image segmentation is essential for ensuring consistent performance across d...

PolypFlow: Reinforcing Polyp Segmentation with Flow-Driven Dynamics

Accurate polyp segmentation remains challenging due to irregular lesion morphologies, ambiguous bo...

Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models

Colorectal cancer (CRC) is a significant global health concern, and early detection through screen...

SHADeS: Self-supervised Monocular Depth Estimation Through Non-Lambertian Image Decomposition

Purpose: Visual 3D scene reconstruction can support colonoscopy navigation. It can help in recogni...

Towards Polyp Counting In Full-Procedure Colonoscopy Videos

Automated colonoscopy reporting holds great potential for enhancing quality control and improving ...

Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation

Employing self-supervised learning (SSL) methodologies assumes par-amount significance in handling...

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?

Segmentation of colorectal cancer (CRC) tumors in 3D medical imaging is both complex and clinicall...

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