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Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
April 27, 2021
Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens
Timothy M D'Alfonso, David Joon Ho, Matthew G Hanna, et al.
Nature Medicine
|
July 17, 2019
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Gabriele Campanella, Matthew G Hanna, Luke Geneslaw, et al.
JMIR Research Protocols
|
November 16, 2023
Development of the ehive Digital Health App: Protocol for a Centralized Research Platform
Robert P Hirten, Matteo Danieletto, Kyle Landell, et al.
EMBO Molecular Medicine
|
June 9, 2012
p53 suppresses type II endometrial carcinomas in mice and governs endometrial tumour aggressiveness in humans
Peter J Wild, Kristian Ikenberg, Thomas J Fuchs, et al.
The Journal of Investigative Dermatology
|
July 15, 2021
Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy
Gabriele Campanella, Cristian Navarrete-Dechent, Konstantinos Liopyris, et al.
The American Journal of Pathology
|
December 23, 2022
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction
David J Ho, Narasimhan P Agaram, Marc-Henri Jean, et al.
Plos One
|
June 12, 2012
A seven-marker signature and clinical outcome in malignant melanoma: a large-scale tissue-microarray study with two independent patient cohorts
Stefanie Meyer, Thomas J Fuchs, Anja K Bosserhoff, et al.
The American Journal of Surgical Pathology
|
May 29, 2024
Artificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node Metastases
Juan Antonio Retamero, Emre Gulturk, Alican Bozkurt, et al.
The Lancet. Digital Health
|
December 22, 2023
Deep learning for [<sup>18</sup>F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis
Ida Häggström, Doris Leithner, Jennifer Alvén, et al.
Gastroenterology
|
January 18, 2025
Physiological Data Collected From Wearable Devices Identify and Predict Inflammatory Bowel Disease Flares
Robert P Hirten, Matteo Danieletto, Milagros Sanchez-Mayor, et al.
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Search research articles
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Showing results (31-40 of 51) with videos related to
Sort By:
Page
of 6
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
April 27, 2021
Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens
Timothy M D'Alfonso, David Joon Ho, Matthew G Hanna, et al.
Nature Medicine
|
July 17, 2019
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Gabriele Campanella, Matthew G Hanna, Luke Geneslaw, et al.
JMIR Research Protocols
|
November 16, 2023
Development of the ehive Digital Health App: Protocol for a Centralized Research Platform
Robert P Hirten, Matteo Danieletto, Kyle Landell, et al.
EMBO Molecular Medicine
|
June 9, 2012
p53 suppresses type II endometrial carcinomas in mice and governs endometrial tumour aggressiveness in humans
Peter J Wild, Kristian Ikenberg, Thomas J Fuchs, et al.
The Journal of Investigative Dermatology
|
July 15, 2021
Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy
Gabriele Campanella, Cristian Navarrete-Dechent, Konstantinos Liopyris, et al.
The American Journal of Pathology
|
December 23, 2022
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction
David J Ho, Narasimhan P Agaram, Marc-Henri Jean, et al.
Plos One
|
June 12, 2012
A seven-marker signature and clinical outcome in malignant melanoma: a large-scale tissue-microarray study with two independent patient cohorts
Stefanie Meyer, Thomas J Fuchs, Anja K Bosserhoff, et al.
The American Journal of Surgical Pathology
|
May 29, 2024
Artificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node Metastases
Juan Antonio Retamero, Emre Gulturk, Alican Bozkurt, et al.
The Lancet. Digital Health
|
December 22, 2023
Deep learning for [<sup>18</sup>F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis
Ida Häggström, Doris Leithner, Jennifer Alvén, et al.
Gastroenterology
|
January 18, 2025
Physiological Data Collected From Wearable Devices Identify and Predict Inflammatory Bowel Disease Flares
Robert P Hirten, Matteo Danieletto, Milagros Sanchez-Mayor, et al.
Page
of 6