AIMC Topic: Neoplasm Micrometastasis

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Detection of metastatic breast carcinoma in sentinel lymph node frozen sections using an artificial intelligence-assisted system.

Pathology, research and practice Feb 11, 2025
We developed an automatic method based on a convolutional neural network (CNN) that identifies metastatic lesions in whole slide images (WSI) of intraoperative frozen sections from sentinel lymph nodes in breast cancer. A total of 954 sentinel lymph ...
Middle Aged Lymphatic Metastasis Breast Neoplasms Frozen Sections Neoplasm Micrometastasis Sentinel Lymph Node Biopsy Sentinel Lymph Node Humans Neural Networks, Computer Artificial Intelligence Aged Female Algorithms
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Detection of Lung Cancer Lymph Node Metastases from Whole-Slide Histopathologic Images Using a Two-Step Deep Learning Approach.

The American journal of pathology Sep 18, 2019
The application of deep learning for the detection of lymph node metastases on histologic slides has attracted worldwide attention due to its potentially important role in patient treatment and prognosis. Despite this attention, false-positive predic...
ROC Curve Image Processing, Computer-Assisted Deep Learning Pathology, Clinical Neoplasm Micrometastasis Lymph Nodes Lung Neoplasms Algorithms Humans
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Assessing micrometastases as a target for nanoparticles using 3D microscopy and machine learning.

Proceedings of the National Academy of Sciences of the United States of America Jul 8, 2019
Metastasis of solid tumors is a key determinant of cancer patient survival. Targeting micrometastases using nanoparticles could offer a way to stop metastatic tumor growth before it causes excessive patient morbidity. However, nanoparticle delivery t...
Neoplasm Micrometastasis Mice, Inbred BALB C Image Interpretation, Computer-Assisted Nanoparticles Imaging, Three-Dimensional Liver Neoplasms Female Mice Animals Lung Neoplasms Machine Learning
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Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer.

The American journal of surgical pathology Dec 1, 2018
Advances in the quality of whole-slide images have set the stage for the clinical use of digital images in anatomic pathology. Along with advances in computer image analysis, this raises the possibility for computer-assisted diagnostics in pathology ...
Proof of Concept Study Neoplasm Micrometastasis Pathology, Clinical Lymph Nodes Breast Neoplasms Lymphatic Metastasis Observer Variation Female Biopsy Time Factors Pattern Recognition, Automated Humans Deep Learning Reproducibility of Results Workflow Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Predictive Value of Tests
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