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Alle Papers – KI in der Krebserkennung

168.310 Papers insgesamt · Seite 33 von 400

801.

A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks

2003·320 Zit.·Cytometry Part A
802.

Digital Pathology: Advantages, Limitations and Emerging Perspectives

2020·320 Zit.·Journal of Clinical MedicineOA
803.

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

2019·320 Zit.·Computers in Biology and MedicineOA
804.

Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art

2020·320 Zit.·Seminars in Cancer BiologyOA
805.

Image Processing with ImageJ

2006·320 Zit.
806.

Breast Ultrasonography: State of the Art

2013·319 Zit.·Radiology
807.

Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges

2019·319 Zit.·Artificial Intelligence Review
808.

A review in radiomics: Making personalized medicine a reality via routine imaging

2021·319 Zit.·Medicinal Research ReviewsOA
809.

A deep learning approach to detect Covid-19 coronavirus with X-Ray images

2020·317 Zit.·Journal of Applied BiomedicineOA
810.

Deformable boundary finding in medical images by integrating gradient and region information

1996·317 Zit.·IEEE Transactions on Medical Imaging
811.

Classification of acute lymphoblastic leukemia using deep learning

2018·317 Zit.·Microscopy Research and TechniqueOA
812.

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

2019·317 Zit.·Lecture notes in computer scienceOA
813.

A multimodal generative AI copilot for human pathology

2024·316 Zit.·NatureOA
814.

Medical Image Segmentation via Cascaded Attention Decoding

2023·316 Zit.·2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
815.

Image Analysis for the Biological Sciences

1996·316 Zit.·Technometrics
816.

Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology

2017·316 Zit.·Computerized Medical Imaging and Graphics
817.

Measures of acutance and shape for classification of breast tumors

1997·315 Zit.·IEEE Transactions on Medical Imaging
818.

Multiclass skin cancer classification using EfficientNets – a first step towards preventing skin cancer

2021·315 Zit.·Neuroscience InformaticsOA
819.

A review of algorithms for medical image segmentation and their applications to the female pelvic cavity

2009·314 Zit.·Computer Methods in Biomechanics & Biomedical EngineeringOA
820.

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

2019·314 Zit.·Nature Machine Intelligence
821.

Pneumonia detection in chest X-ray images using convolutional neural networks and transfer learning

2020·314 Zit.·Measurement
822.

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

2019·314 Zit.·Medical Image AnalysisOA
823.

Improving breast cancer diagnosis with computer-aided diagnosis

1999·313 Zit.·Academic Radiology
824.

Skin cancer diagnosis based on optimized convolutional neural network

2019·313 Zit.·Artificial Intelligence in Medicine
825.

Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs

2018·313 Zit.·Applied SciencesOA