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Lymph Nodes

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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
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...

A Convolutional Neural Network for 250-MHz Quantitative Acoustic-microscopy Resolution Enhancement.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Quantitative acoustic microscopy (QAM) permits the formation of quantitative two-dimensional (2D) maps of acoustic and mechanical properties of soft tissues at microscopic resolution. The 2D maps formed using our custom SAM systems employing a 250-MH...

[Current applications of artificial intelligence in tumor histopathology].

Zhonghua zhong liu za zhi [Chinese journal of oncology]
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
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
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 ...

Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.

Journal of digital imaging
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...

Deep Learning-Based Computer-Aided Diagnosis System for Localization and Diagnosis of Metastatic Lymph Nodes on Ultrasound: A Pilot Study.

Thyroid : official journal of the American Thyroid Association
BACKGROUND: The presence of metastatic lymph nodes is a prognostic indicator for patients with thyroid carcinomas and is an important determinant of clinical decision making. However, evaluating neck lymph nodes requires experience and is labor- and ...

[A Paired Case Controlled Study Comparing the Short-term Outcomes of Da Vinci RATS and VATS Approach for Non-small Cell Lung Cancer].

Zhongguo fei ai za zhi = Chinese journal of lung cancer
BACKGROUND: Da Vinci Surgical System is one of the greatest inventions of the 20th century, which represents the development direction of the precise minimally invasive surgical techniques, the aim of this study was to comparing the short-term outcom...

Short-term outcomes in patients with colon cancer treated with robotic right colectomy.

Journal of B.U.ON. : official journal of the Balkan Union of Oncology
PURPOSE: To report a single surgeon series of consecutive robotic right colectomies (RRC) performed for non-metastatic right colon cancer.