Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

15,280 articles
Stay Ahead - Weekly Oncology/Hematology research updates
Subscribe
Browse Categories
Showing 2038-2058 of 15,280 articles
Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the most prevalent and deadly form of liver cancer, and its mortal...

Age-stratified deep learning model for thyroid tumor classification: a multicenter diagnostic study.

OBJECTIVES: Thyroid cancer, the only cancer that uses age as a specific predictor of survival, is in...

Habitat-Based Radiomics for Revealing Tumor Heterogeneity and Predicting Residual Cancer Burden Classification in Breast Cancer.

PURPOSE: To investigate the feasibility of characterizing tumor heterogeneity in breast cancer ultra...

Breast cancer image classification based on H&E staining using a causal attention graph neural network model.

Breast cancer image classification remains a challenging task due to the high-resolution nature of p...

Personalized auto-segmentation for magnetic resonance imaging-guided adaptive radiotherapy of large brain metastases.

BACKGROUND AND PURPOSE: Magnetic resonance-guided adaptive radiotherapy (MRgART) may improve the eff...

Quality of Information on Wilms Tumor From Artificial Intelligence Chatbots: What Are Your Patients and Their Families Reading?

OBJECTIVE: To assess the ability of AI chatbots to deliver quality and understandable information on...

Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer.

Gastric cancer (GC) is one of the most common tumors; one of the reasons for its poor prognosis is t...

ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules' malignancy.

Thyroid nodules are a common endocrine condition, and accurate differentiation between benign and ma...

Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques.

In prostate cancer (PCa), risk calculators have been proposed, relying on clinical parameters and ma...

Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images.

Colorectal cancer (CRC) is the second popular cancer in females and third in males, with an increase...

Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning.

To develop a deep learning model using transfer learning for automatic detection and segmentation of...

IPNet: An Interpretable Network With Progressive Loss for Whole-Stage Colorectal Disease Diagnosis.

Colorectal cancer plays a dominant role in cancer-related deaths, primarily due to the absence of ob...

Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis.

Recently, we have witnessed impressive achievements in cancer survival analysis by integrating multi...

Radiomics Analysis of Different Machine Learning Models based on Multiparametric MRI to Identify Benign and Malignant Testicular Lesions.

RATIONALE AND OBJECTIVES: To develop and validate a machine learning-based prediction model for the ...

Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer.

Liver cancer detection is critically important in the discipline of biomedical image testing and dia...

Accelerating biopharmaceutical cell line selection with label-free multimodal nonlinear optical microscopy and machine learning.

The selection of high-performing cell lines is crucial for biopharmaceutical production but is often...

Applicability of Artificial Intelligence Analysis in Oral Cytopathology: A Pilot Study.

INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challe...

Browse Categories