Alle Papers – KI in der Krebserkennung

A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier

Deep Neural Networks for Medical Image Segmentation

Artificial intelligence in oncology: current applications and future perspectives

Second International Consensus Conference on lesions of uncertain malignant potential in the breast (B3 lesions)

Clinical accuracy of the diagnosis of cutaneous malignant melanoma

Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images

An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells

Proceedings of the 16th IEEE international conference on Image processing

An ensemble classifier system for early diagnosis of acute lymphoblastic leukemia in blood microscopic images

Machine Learning in Radiology: Applications Beyond Image Interpretation

Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction

Region-of-Interest Based Transfer Learning Assisted Framework for Skin Cancer Detection

Deep convolutional neural network for survival analysis with pathological images

Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review

Strategies for early melanoma detection: Approaches to the patient with nevi

An approach to automated detection of tumors in mammograms

Mammographic Breast Density and the Gail Model for Breast Cancer Risk Prediction in a Screening Population

Skin cancer detection: Applying a deep learning based model driven architecture in the cloud for classifying dermal cell images

A comparative study of deep learning architectures on melanoma detection

An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery

Breast cancer diagnosis using Genetically Optimized Neural Network model

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

EXPLAINABLE-BY-DESIGN APPROACH FOR COVID-19 CLASSIFICATION VIA CT-SCAN

Human–machine partnership with artificial intelligence for chest radiograph diagnosis

Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm