GitHub

CLIJ2: GPU-accelerated image processing for everyone

Robert Haase, Loic Alain Royer, Peter Steinbach, Deborah Schmidt, Alexandr Dibrov, Uwe Schmidt, Martin Weigert, Nicola Maghelli, Pavel Tomancak, Florian Jug, Eugene W Myers. CLIJ: GPU-accelerated ...
IEEE

Assessment of 3D MRI Image segmentation and Classification for Brain Tumor Detection Using ConvLSTM

Abstract: The human brain serves as the principal controller of the humanoid system. Brain tumors are the result of abnormal cell division and proliferation, and the development of these tumors can ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
ascopubs.org

Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...
ahajournals.org

Optical Spectroscopic Detection and Typing of Cardiac Amyloidosis

In summary, we report a rapid, semiautomated, and nondestructive approach for cardiac amyloid detection and typing. Using only an infrared microscope and artificial intelligence, the technique can be ...
Nature

Early automated detection system for skin cancer diagnosis using artificial intelligent techniques

Recently, skin cancer is one of the spread and dangerous cancers around the world. Early detection of skin cancer can reduce mortality. Traditional methods for skin cancer detection are painful, ...
Nature

Breast cancer detection using enhanced IRI-numerical engine and inverse heat transfer modeling: model description and clinical validation

Effective treatment of breast cancer relies heavily on early detection. Routine annual mammography is a widely accepted screening technique that has resulted in significantly improving the survival ...
IEEE

Brain tumor detection based on segmentation using MATLAB

Abstract: An unusual mass of tissue in which some cells multiplies and grows uncontrollably is called brain tumor. It starts growing inside the skull and interpose with the regular functioning of the ...
Cancer Research

Reprogrammed Schwann Cells Organize into Dynamic Tracks that Promote Pancreatic Cancer Invasion

1Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York. 4Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York. Search for ...
BMJ

Volume sweep imaging lung teleultrasound for detection of COVID-19 in Peru: a multicentre pilot study

Objectives Pulmonary disease is a significant cause of morbidity and mortality in adults and children, but most of the world lacks diagnostic imaging for its assessment. Lung ultrasound is a portable, ...
The Lancet

Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort ...

aDepartment of Medicine III, University Hospital RWTH Aachen, Aachen, Germany bDepartment of Surgery and Transplantation, University Hospital RWTH Aachen, Aachen, Germany cInstitute of Pathology, ...