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Alle Papers – KI in der Krebserkennung

168.900 Papers insgesamt · Seite 8 von 400

176.

Recurrent residual U-Net for medical image segmentation

2019·823 Zit.·Journal of Medical ImagingOA
177.

COVID-19 Image Data Collection

2020·818 Zit.·arXiv (Cornell University)OA
178.

DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation

2022·814 Zit.·IEEE Transactions on Instrumentation and Measurement
179.

A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation

2019·810 Zit.
180.

QuPath: Open source software for digital pathology image analysis

2017·810 Zit.·bioRxiv (Cold Spring Harbor Laboratory)OA
181.

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

2019·805 Zit.·GutOA
182.

Support vector machines combined with feature selection for breast cancer diagnosis

2008·804 Zit.·Expert Systems with Applications
183.

Deep Learning for Identifying Metastatic Breast Cancer

2016·804 Zit.·arXiv (Cornell University)OA
184.

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

2019·799 Zit.·Scientific ReportsOA
185.

The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions

2020·798 Zit.·Nature CommunicationsOA
186.

COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images

2020·796 Zit.·Medical HypothesesOA
187.

Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival

2011·788 Zit.·Science Translational Medicine
188.

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

2016·783 Zit.·IEEE Transactions on Medical Imaging
189.

Current Status of the Digital Database for Screening Mammography

1998·778 Zit.·Computational imaging and vision
190.

A novel deep learning based framework for the detection and classification of breast cancer using transfer learning

2019·775 Zit.·Pattern Recognition Letters
191.

The impact of artificial intelligence in medicine on the future role of the physician

2019·774 Zit.·PeerJOA
192.

Validation of the Accuracy of Intraoperative Lymphatic Mapping and Sentinel Lymphadenectomy for Early-Stage Melanoma

1999·771 Zit.·Annals of SurgeryOA
193.

A curated mammography data set for use in computer-aided detection and diagnosis research

2017·766 Zit.·Scientific DataOA
194.

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification

2023·764 Zit.·Scientific DataOA
195.

CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

2020·764 Zit.·IEEE AccessOA
196.

Deep Learning in Medical Ultrasound Analysis: A Review

2019·762 Zit.·EngineeringOA
197.

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

2021·758 Zit.·BMJ OpenOA
198.

Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis

2016·755 Zit.·Procedia Computer ScienceOA
199.

Screening Mammography with Computer-aided Detection: Prospective Study of 12,860 Patients in a Community Breast Center

2001·753 Zit.·Radiology
200.

UNeXt: MLP-Based Rapid Medical Image Segmentation Network

2022·746 Zit.·Lecture notes in computer science