Alle Papers – KI in der Krebserkennung

Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

Quantifying the architectural complexity of microscopic images of histology specimens

Biological insights and novel biomarker discovery through deep learning approaches in breast cancer histopathology

Case-Based Reasoning Computer Algorithm that Uses Mammographic Findings for Breast Biopsy Decisions

Morphogo: An Automatic Bone Marrow Cell Classification System on Digital Images Analyzed by Artificial Intelligence

SVM Approach to Breast Cancer Classification

Association Between Patient and Tumor Characteristics With Clinical Outcomes in Women With Ductal Carcinoma In Situ

Classification of lung cancer stages on CT scan images using image processing

CycleGAN-based deep learning technique for artifact reduction in fundus photography

<title>Segmentation of the breast region in mammograms using active contours</title>

Can Survival Prediction Be Improved By Merging Gene Expression Data Sets?

2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

Detection of COVID-19 from CT and Chest X-ray Images Using Deep Learning Models

Three-dimensional visualisation of lymphatic drainage patterns in patients with cutaneous melanoma

Quantification of the Global and Local Complexity of the Epithelial-Connective Tissue Interface of Normal, Dysplastic, and Neoplastic Oral Mucosae Using Digital Imaging

Evaluation of telemedicine systems for impacted third molars diagnosis

Pathologists' Agreement With Experts and Reproducibility of Breast Ductal Carcinoma-in-Situ Classification Schemes

Effects of Label Noise on Deep Learning-Based Skin Cancer Classification

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA

A practical clinical method for contour determination in ultrasonographic prostate images

Cone beam breast CT with multiplanar and three dimensional visualization in differentiating breast masses compared with mammography

Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining

Optical Versus Virtual Microscope for Medical Education: A Systematic Review

DeepCAD: A Computer-Aided Diagnosis System for Mammographic Masses Using Deep Invariant Features

Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer