AIMC Topic: Lymph Nodes
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Automated detection of vascular remodeling in tumor-draining lymph nodes by the deep-learning tool HEV-finder.
The Journal of pathology
Jul 12, 2022
Vascular remodeling is common in human cancer and has potential as future biomarkers for prediction of disease progression and tumor immunity status. It can also affect metastatic sites, including the tumor-draining lymph nodes (TDLNs). Dilation of t...
Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.
Journal of gastroenterology
Jul 8, 2022
BACKGROUND: When endoscopically resected specimens of early colorectal cancer (CRC) show high-risk features, surgery should be performed based on current guidelines because of the high-risk of lymph node metastasis (LNM). The aim of this study was to...
Robot-assisted single-port surgery in inguinal lymph-node dissection for vulvar cancer.
Asian journal of surgery
Jun 16, 2022
Deep neural network trained on gigapixel images improves lymph node metastasis detection in clinical settings.
Nature communications
Jun 10, 2022
The pathological identification of lymph node (LN) metastasis is demanding and tedious. Although convolutional neural networks (CNNs) possess considerable potential in improving the process, the ultrahigh-resolution of whole slide images hinders the ...
Automatic contouring QA method using a deep learning-based autocontouring system.
Journal of applied clinical medical physics
May 17, 2022
PURPOSE: To determine the most accurate similarity metric when using an independent system to verify automatically generated contours.
A new technique for robotic lateral pelvic lymph node dissection for advanced low rectal cancer with emphasis on en bloc resection and inferior vesical vessel preservation.
Surgical endoscopy
May 16, 2022
BACKGROUND: Lateral pelvic lymph node (LPLN) dissection is becoming increasingly important in the treatment of advanced low rectal cancer patients. However, the surgery has several disadvantages, including its technical complexity and high risk of ur...
Special issue "The advance of solid tumor research in China": Prognosis prediction for stage II colorectal cancer by fusing computed tomography radiomics and deep-learning features of primary lesions and peripheral lymph nodes.
International journal of cancer
May 13, 2022
Currently, the prognosis assessment of stage II colorectal cancer (CRC) remains a difficult clinical problem; therefore, more accurate prognostic predictors must be developed. In our study, we developed a prognostic prediction model for stage II CRC ...
Deep learning combined with radiomics for the classification of enlarged cervical lymph nodes.
Journal of cancer research and clinical oncology
May 13, 2022
PURPOSE: To investigate the application of deep learning combined with traditional radiomics methods for classifying enlarged cervical lymph nodes.
Click-on fluorescence detectors: using robotic surgical instruments to characterize molecular tissue aspects.
Journal of robotic surgery
Apr 9, 2022
Fluorescence imaging is increasingly being implemented in surgery. One of the drawbacks of its application is the need to switch back-and-forth between fluorescence- and white-light-imaging settings and not being able to dissect safely under fluoresc...
Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography.
Japanese journal of radiology
Mar 14, 2022
PURPOSE: To investigate the ability of deep learning (DL) using convolutional neural networks (CNNs) for distinguishing between normal and metastatic axillary lymph nodes on ultrasound images by comparing the diagnostic performance of radiologists.
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