Oncology/Hematology

Colon Cancer

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

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Image-Based Deep Learning Model for Predicting Lymph Node Metastasis in Lung Adenocarcinoma With CT ≤ 2 cm.

BACKGROUND: Lymph node metastasis (LNM) poses a considerable threat to survival in lung adenocarcino...

May 2025 40425526
The Association Between Hepatocellular Carcinoma and Gastrointestinal Adenocarcinoma: Is This a New Syndrome in Patients With Cirrhosis? A Case Series.

AIM: This case series aimed to explore the occurrence of synchronous hepatocellular carcinoma (HCC) ...

May 2025 40348604
A Novel Deep Learning-based Pathomics Score for Prognostic Stratification in Pancreatic Ductal Adenocarcinoma.

BACKGROUND AND OBJECTIVES: Accurate survival prediction for pancreatic ductal adenocarcinoma (PDAC) ...

May 2025 40314741
Dynamic Contextual Attention Network: Transforming Spatial Representations into Adaptive Insights for Endoscopic Polyp Diagnosis

Colorectal polyps are key indicators for early detection of colorectal cancer. However, traditiona...

[Role of Artificial Intelligence in Improving Quality of Colonoscopy].

Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy i...

Apr 2025 40276831
PPS-Ctrl: Controllable Sim-to-Real Translation for Colonoscopy Depth Estimation

Accurate depth estimation enhances endoscopy navigation and diagnostics, but obtaining ground-trut...

Med-2D SegNet: A Light Weight Deep Neural Network for Medical 2D Image Segmentation

Accurate and efficient medical image segmentation is crucial for advancing clinical diagnostics an...

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention

Colonoscopy is vital in the early diagnosis of colorectal polyps. Regular screenings can effective...

PraNet-V2: Dual-Supervised Reverse Attention for Medical Image Segmentation

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

AgentPolyp: Accurate Polyp Segmentation via Image Enhancement Agent

Since human and environmental factors interfere, captured polyp images usually suffer from issues ...

Conditional Conformal Risk Adaptation

Uncertainty quantification is becoming increasingly important in image segmentation, especially fo...

ColonScopeX: Leveraging Explainable Expert Systems with Multimodal Data for Improved Early Diagnosis of Colorectal Cancer

Colorectal cancer (CRC) ranks as the second leading cause of cancer-related deaths and the third m...

BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models

Accurate segmentation of polyps and skin lesions is essential for diagnosing colorectal and skin c...

Artificial intelligence in colorectal surgery multidisciplinary team approach-From innovation to application.

Artificial intelligence (AI) has played a novel role in aiding healthcare system functions and enhan...

Apr 2025 40285450
Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer, with most cases diagnosed a...

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks

The complexity and variability inherent in high-resolution pathological images present significant...

AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models

In colonoscopy, 80% of the missed polyps could be detected with the help of Deep Learning models. ...

PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

Early detection, accurate segmentation, classification and tracking of polyps during colonoscopy a...

Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images

Introduction: This study provides a comprehensive performance assessment of vision-language models...

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