AIMC Topic: Adenocarcinoma

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Machine learning application for incident prostate adenocarcinomas automatic registration in a French regional cancer registry.

International journal of medical informatics Apr 9, 2020
UNLABELLED: Cancer registries are collections of curated data about malignant tumor diseases. The amount of data processed by cancer registries increases every year, making manual registration more and more tedious.
Humans Machine Learning Algorithms Male Registries Data Mining France International Classification of Diseases Incidence Adenocarcinoma Prostatic Neoplasms
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Machine learning to predict early recurrence after oesophageal cancer surgery.

The British journal of surgery Jan 30, 2020
BACKGROUND: Early cancer recurrence after oesophagectomy is a common problem, with an incidence of 20-30 per cent despite the widespread use of neoadjuvant treatment. Quantification of this risk is difficult and existing models perform poorly. This s...
Adult Male Middle Aged Risk Assessment Female Aged Aged, 80 and over Neoplasm Recurrence, Local Esophagectomy Esophageal Neoplasms Clinical Decision Rules ROC Curve Adenocarcinoma Area Under Curve Humans Machine Learning
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Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.

European radiology Jan 17, 2020
OBJECTIVES: To build a dual-energy CT (DECT)-based deep learning radiomics nomogram for lymph node metastasis (LNM) prediction in gastric cancer.
Adenocarcinoma Lymphatic Metastasis Neoplasm Staging Humans Lymph Nodes Middle Aged Tomography, X-Ray Computed Prognosis Nomograms Female Aged Deep Learning Retrospective Studies Adult Aged, 80 and over Stomach Neoplasms Male
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Finding Barrett's oesophagus: is there a machine learning approach in our future?

The Lancet. Digital health Dec 23, 2019
Adenocarcinoma Humans Machine Learning Esophageal Neoplasms Case-Control Studies Barrett Esophagus
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Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study.

Gut Nov 28, 2019
OBJECTIVE: Diagnostic tests, such as Immunoscore, predict prognosis in patients with colon cancer. However, additional prognostic markers could be detected on pathological slides using artificial intelligence tools.
Humans Artificial Intelligence Adenocarcinoma Lymphocytes, Tumor-Infiltrating Prognosis Antineoplastic Combined Chemotherapy Protocols Disease-Free Survival Image Interpretation, Computer-Assisted Neoplasm Invasiveness Neoplasm Staging Colonic Neoplasms
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A gastric cancer LncRNAs model for MSI and survival prediction based on support vector machine.

BMC genomics Nov 13, 2019
BACKGROUND: Recent studies have shown that long non-coding RNAs (lncRNAs) play a crucial role in the induction of cancer through epigenetic regulation, transcriptional regulation, post-transcriptional regulation and other aspects, thus participating ...
Disease-Free Survival Kaplan-Meier Estimate Stomach Neoplasms Humans Cohort Studies Adenocarcinoma RNA, Long Noncoding Prognosis Models, Genetic Support Vector Machine Microsatellite Instability
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Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides.

JAMA network open Nov 1, 2019
IMPORTANCE: Deep learning-based methods, such as the sliding window approach for cropped-image classification and heuristic aggregation for whole-slide inference, for analyzing histological patterns in high-resolution microscopy images have shown pro...
Biopsy Esophageal Neoplasms Microscopy Datasets as Topic Neural Networks, Computer Barrett Esophagus Deep Learning Computer Simulation Humans Adenocarcinoma
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Robotic anatomic pulmonary segmentectomy: technical approach and outcomes.

Revista do Colegio Brasileiro de Cirurgioes Sep 30, 2019
OBJECTIVE: to report our initial experience with pulmonary robotic segmentectomy, describing the surgical technique, the preferred positioning of portals, initial results and outcomes.
Robotic Surgical Procedures Pneumonectomy Indocyanine Green Humans Middle Aged Aged Adenocarcinoma Prospective Studies Lung Neoplasms Male Robotics Female Minimally Invasive Surgical Procedures
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Real-time use of artificial intelligence in the evaluation of cancer in Barrett's oesophagus.

Gut Sep 20, 2019
Barrett Esophagus Diagnosis, Computer-Assisted Adenocarcinoma Predictive Value of Tests Humans Esophageal Neoplasms Artificial Intelligence Endoscopy
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Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.

Medical image analysis Sep 18, 2019
Nuclear segmentation and classification within Haematoxylin & Eosin stained histology images is a fundamental prerequisite in the digital pathology work-flow. The development of automated methods for nuclear segmentation and classification enables th...
Humans Adenocarcinoma Datasets as Topic Neural Networks, Computer Colorectal Neoplasms Cell Nucleus Staining and Labeling Histological Techniques
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