AIMC Topic: Lymphatic Metastasis
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Deep neural network-assisted computed tomography diagnosis of metastatic lymph nodes from gastric cancer.
Chinese medical journal
Dec 5, 2019
BACKGROUND: Artificial intelligence-assisted image recognition technology is currently able to detect the target area of an image and fetch information to make classifications according to target features. This study aimed to use deep neural networks...
[Study of Skip Metastasis to Lateral Lymph Nodes in Low Rectal Cancer].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
We reviewed the clinical records of 302 patients with low rectal carcinoma to evaluate the effectiveness of lateral lymph node(LLN)dissection in cases of skip metastases to the LLN. Patients were divided into 4 groups according to nodal status: group...
[A Case of Splenic Lymph Node Metastasis from the Distal Bile Duct Carcinoma Seven Years after a Curative Resection].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
We report a case of splenic lymph node recurrence 7 years after a distal bile duct carcinoma. A 70s man underwent pylorus ring-preserving pancreaticoduodenectomy for distal bile duct carcinoma in 20XX. The pathological diagnosis was T2N0M0, Stage Ⅱ(J...
[Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].
Zhonghua wai ke za zhi [Chinese journal of surgery]
Dec 1, 2019
To examine the value and clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer. Totally 124 patients with advanced gastric cancer who underwent radical gastrectomy plus D2 lymphad...
Feedback-based Self-improving CNN Algorithm for Breast Cancer Lymph Node Metastasis Detection in Real Clinical Environment.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Digital pathology can be thought of as a model composed of 3 main elements; classification algorithm, Graphical User Interface (GUI) and the pathologists. Currently there is only a one way interaction from the classification algorithm to the patholog...
Artificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer.
Chinese medical journal
Feb 1, 2019
BACKGROUND: An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients. The primary objective of this study was to ...
[Current applications of artificial intelligence in tumor histopathology].
Zhonghua zhong liu za zhi [Chinese journal of oncology]
Dec 23, 2018
The tasks of artificial intelligence (AI) in tumor histopathology include image segmentation and classification. Currently, the specific contents including lymph node metastasis, pathological classification, grade and prognostic evaluation of maligna...
[Surgical Resection of Hepatic Portal Lymph Node Metastasis after Repeated Treatment for Hepatocellular Carcinoma Recurrence].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2018
We encountered a case of hepatic portal lymph node metastasis after repeated treatment for hepatocellular carcinoma (HCC)recurrence. A 73-year-old male patient underwent partial gastrectomy following rupture of a gastrointestinal stromal tumor 8 year...
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 ...
Female
Reproducibility of Results
Breast Neoplasms
Diagnosis, Computer-Assisted
Deep Learning
Time Factors
Lymph Nodes
Humans
Proof of Concept Study
Pathology, Clinical
Neoplasm Micrometastasis
Workflow
Image Interpretation, Computer-Assisted
Observer Variation
Pattern Recognition, Automated
Lymphatic Metastasis
Predictive Value of Tests
Biopsy
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.
Journal of digital imaging
Dec 1, 2018
The aim of this study is to evaluate the role of convolutional neural network (CNN) in predicting axillary lymph node metastasis, using a breast MRI dataset. An institutional review board (IRB)-approved retrospective review of our database from 1/201...
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