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Alle Papers – KI in der Krebserkennung

168.310 Papers insgesamt · Seite 26 von 400

626.

Advances in medical image analysis with vision Transformers: A comprehensive review

2023·369 Zit.·Medical Image Analysis
627.

Machine Learning Algorithms For Breast Cancer Prediction And Diagnosis

2021·369 Zit.·Procedia Computer ScienceOA
628.

Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization

2019·368 Zit.·Scientific ReportsOA
629.

1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset

2018·368 Zit.·GigaScienceOA
630.

Skin Lesions Classification Into Eight Classes for ISIC 2019 Using Deep Convolutional Neural Network and Transfer Learning

2020·367 Zit.·IEEE AccessOA
631.

Radiomics in Oncology: A Practical Guide

2021·367 Zit.·RadiographicsOA
632.

Melanoma detection by analysis of clinical images using convolutional neural network

2016·367 Zit.
633.

The Bethesda System for Reporting Cervical/Vaginal Cytologic Diagnoses

1995·366 Zit.·International Journal of Gynecological Pathology
634.

Data augmentation for medical imaging: A systematic literature review

2022·365 Zit.·Computers in Biology and Medicine
635.

CS <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"> <mml:msup> <mml:mrow/> <mml:mn>2</mml:mn> </mml:msup> </mml:math> -Net: Deep learning segmentation of curvilinear structures in medical imaging

2020·365 Zit.·Medical Image AnalysisOA
636.

Using X-ray images and deep learning for automated detection of coronavirus disease

2020·364 Zit.·Journal of Biomolecular Structure and DynamicsOA
637.

Physician Confidence in Artificial Intelligence: An Online Mobile Survey

2019·364 Zit.·Journal of Medical Internet ResearchOA
638.

Radiomics in breast cancer classification and prediction

2020·364 Zit.·Seminars in Cancer Biology
639.

Deep learning with convolutional neural network in radiology

2018·364 Zit.·Japanese Journal of Radiology
640.

Deep learning for lung Cancer detection and classification

2020·363 Zit.·Multimedia Tools and Applications
641.

Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods

2019·363 Zit.·Academic PathologyOA
642.

Automatic Nuclei Segmentation in H&amp;E Stained Breast Cancer Histopathology Images

2013·363 Zit.·PLoS ONEOA
643.

Mammographic Density Phenotypes and Risk of Breast Cancer: A Meta-analysis

2014·362 Zit.·JNCI Journal of the National Cancer InstituteOA
644.

Digital Breast Tomosynthesis: Observer Performance Study

2009·362 Zit.·American Journal of Roentgenology
645.

Capsule Networks for Brain Tumor Classification Based on MRI Images and Coarse Tumor Boundaries

2019·362 Zit.
646.

Lung cancer classification using neural networks for CT images

2013·361 Zit.·Computer Methods and Programs in Biomedicine
647.

Transfer learning based histopathologic image classification for breast cancer detection

2018·361 Zit.·Health Information Science and SystemsOA
648.

Improvement in Radiologists?? Detection of Clustered Microcalcifications on Mammograms

1990·361 Zit.·Investigative Radiology
649.

Axillary Nodal Evaluation in Breast Cancer: State of the Art

2020·360 Zit.·Radiology
650.

Multiple instance learning for histopathological breast cancer image classification

2018·360 Zit.·Expert Systems with Applications