Alle Papers – KI in der Krebserkennung

Computational methods for the image segmentation of pigmented skin lesions: A review

An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification

Cellpose: a generalist algorithm for cellular segmentation

Effect of training-sample size and classification difficulty on the accuracy of genomic predictors

IoMT Cloud-Based Intelligent Prediction of Breast Cancer Stages Empowered With Deep Learning

Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis

Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval

Quantitative Analysis of Lesion Morphology and Texture Features for Diagnostic Prediction in Breast MRI

Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review

Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies

Computer-aided diagnosis in radiology: potential and pitfalls

If You Don’t Find It Often, You Often Don’t Find It: Why Some Cancers Are Missed in Breast Cancer Screening

An open access thyroid ultrasound image database

Artificial intelligence in reproductive medicine

A Multifactorial Model for Pancreatic Cancer in Man

STACS: new active contour scheme for cardiac MR image segmentation

Analysis Of Ultrasound Image Texture Via Generalized Rician Statistics

Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification

Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis

Breast Cancer Detection Using Machine Learning Algorithms

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition

Melanoma diagnosis using deep learning techniques on dermatoscopic images

Computer Recognition of Regional Lung Disease Patterns

Trends for in situ and Invasive Melanoma in Queensland, Australia, 1982–2002

The Performance of MelaFind