AIMC Topic: Adenocarcinoma
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Application of one-dimensional hierarchical network assisted screening for cervical cancer based on Raman spectroscopy combined with attention mechanism.
Photodiagnosis and photodynamic therapy
Apr 11, 2024
Cervical cancer is one of the most common malignant tumors among women, and its pathological change is a relatively slow process. If it can be detected in time and treated properly, it can effectively reduce the incidence rate and mortality rate of c...
A meta-analysis of unilateral axillary approach for robotic surgery compared with open surgery for differentiated thyroid carcinoma.
PloS one
Apr 11, 2024
OBJECTIVE: The Da Vinci Robot is the most advanced micro-control system in endoscopic surgical instruments and has gained a lot of valuable experience today. However, the technical feasibility and oncological safety of the robot over open surgery are...
Development of a Deep Learning System for Intraoperative Identification of Cancer Metastases.
Annals of surgery
Apr 5, 2024
OBJECTIVE: The aim of this study was to develop and test a prototype of a deep learning surgical guidance system [computer-assisted staging laparoscopy (CASL)] that can intraoperative identify peritoneal surface metastases on routine laparoscopy imag...
Enabling large-scale screening of Barrett's esophagus using weakly supervised deep learning in histopathology.
Nature communications
Mar 11, 2024
Timely detection of Barrett's esophagus, the pre-malignant condition of esophageal adenocarcinoma, can improve patient survival rates. The Cytosponge-TFF3 test, a non-endoscopic minimally invasive procedure, has been used for diagnosing intestinal me...
The role of neoadjuvant chemotherapy for patients with variant histology muscle invasive bladder cancer undergoing robotic cystectomy: Data from the International Robotic Cystectomy Consortium.
Urologic oncology
Feb 29, 2024
OBJECTIVE: To assess the role of neoadjuvant chemotherapy (NAC) before robot-assisted radical cystectomy (RARC) for patients with variant histology (VH) muscle-invasive bladder cancer (MIBC).
A Histopathologic Image Analysis for the Classification of Endocervical Adenocarcinoma Silva Patterns Depend on Weakly Supervised Deep Learning.
The American journal of pathology
Feb 19, 2024
Twenty-five percent of cervical cancers are classified as endocervical adenocarcinomas (EACs), which comprise a highly heterogeneous group of tumors. A histopathologic risk stratification system known as the Silva pattern system was developed based o...
Development and multicenter validation of deep convolutional neural network-based detection of colorectal cancer on abdominal CT.
European radiology
Feb 1, 2024
OBJECTIVES: This study aims to develop computer-aided detection (CAD) for colorectal cancer (CRC) using abdominal CT based on a deep convolutional neural network.
Adult
Sensitivity and Specificity
Colorectal Neoplasms
Reproducibility of Results
Aged
Aged, 80 and over
Radiographic Image Interpretation, Computer-Assisted
Radiography, Abdominal
Male
Middle Aged
Humans
Adenocarcinoma
Tomography, X-Ray Computed
Female
Neural Networks, Computer
Retrospective Studies
Machine Learning Developed a MYC Expression Feature-Based Signature for Predicting Prognosis and Chemoresistance in Pancreatic Adenocarcinoma.
Biochemical genetics
Jan 21, 2024
MYC has been identified to profoundly influence a wide range of pathologic processes in cancers. However, the prognostic value of MYC-related genes in pancreatic adenocarcinoma (PAAD) remains unclarified. Gene expression data and clinical information...
Advancement of artificial intelligence systems for surveillance endoscopy of Barrett's esophagus.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Dec 8, 2023
Barrett's esophagus (BE) is a precursor disease for esophageal adenocarcinoma. Timely detection and treatment has significant influence on patient outcomes. Over the last years, several artificial intelligence (AI) systems have emerged to assist the ...
The Histological Detection of Ulcerative Colitis Using a No-Code Artificial Intelligence Model.
International journal of surgical pathology
Oct 25, 2023
Ulcerative colitis (UC) is an intractable disease that affects young adults. Histological findings are essential for its diagnosis; however, the number of diagnostic pathologists is limited. Herein, we used a no-code artificial intelligence (AI) plat...
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