Alle Papers – KI in der Krebserkennung

Application of artificial intelligence in gastroenterology

Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data

A comprehensive review of deep learning in colon cancer

Application of shape analysis to mammographic calcifications

Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Missed Breast Carcinoma: Pitfalls and Pearls

Micro-Net: A unified model for segmentation of various objects in microscopy images

The Bethesda System for Reporting Cervical Cytology

Channel prior convolutional attention for medical image segmentation

Translational AI and Deep Learning in Diagnostic Pathology

Automatic cell nuclei segmentation and classification of breast cancer histopathology images

Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends

A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions

Malignancy Detection in Lung and Colon Histopathology Images Using Transfer Learning With Class Selective Image Processing

Biomarker Identification by Feature Wrappers

Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN)

Interobserver variability on the histopathologic diagnosis of cutaneous melanoma and other pigmented skin lesions.

Comparative Effectiveness of Digital Versus Film-Screen Mammography in Community Practice in the United States

Using Biomarkers as Objective Standards in the Diagnosis of Cervical Biopsies

Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Health

Computer aided lung cancer diagnosis with deep learning algorithms

Erratum: Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks

Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology

Deep convolutional neural networks for mammography: advances, challenges and applications

Development and Validation of a Deep Learning Model for Non–Small Cell Lung Cancer Survival