Alle Papers – KI in der Krebserkennung
168.310 Papers insgesamt · Seite 11 von 400
Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
Segment anything model for medical image analysis: An experimental study
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet
Deep learning based tissue analysis predicts outcome in colorectal cancer
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation
Transfusion: Understanding Transfer Learning for Medical Imaging
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
Critical Review of Published Microarray Studies for Cancer Outcome and Guidelines on Statistical Analysis and Reporting
Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential
Mammographic breast density as an intermediate phenotype for breast cancer
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
Deep Learning and Its Applications in Biomedicine
AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images
Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances
Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network
A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images
Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks
The quantitative analysis of mammographic densities
Deep learning in cancer pathology: a new generation of clinical biomarkers
High‐throughput protein expression analysis using tissue microarray technology of a large well‐characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses
Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning
Artificial intelligence for multimodal data integration in oncology
Pan-cancer image-based detection of clinically actionable genetic alterations