Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: The early detection of human breast cancer represents a great chance of survival. Malign...
Artificial intelligence (AI) techniques have significant potential to enable effective, robust, and ...
This chapter goes through the steps required to train and validate a simple, machine learning-based ...
BACKGROUND: Accurate prediction of tumour response to neoadjuvant chemoradiotherapy enables personal...
Cancer is a deadly disease that is often caused by the accumulation of various genetic mutations and...
BACKGROUND: Ovarian tumor is a common female genital tumor, among which malignant tumors have a poor...
Whole-slide imaging (WSI) has wide spectrum of application in histopathology, especially in the stud...
OBJECTIVES: Now a days, squamous cell carcinoma (SCC) margin assessment is done by examining histopa...
Endoscopic submucosal dissection (ESD) is the preferred technique for treating early gastric cancer...
The study was aimed to determine the diagnostic yield and outcome of transrectal ultrasound-guided p...
Objective To establish an artificial intelligence model based on B-mode thyroid ultrasound images to...
INTRODUCTION: Chuna manual therapy (CMT) is a type of manual medicine practiced by Korean medical do...
BACKGROUND: Artificial intelligence system is a deep learning system based on computer-assisted ultr...
PURPOSE: The aim of this study is to evaluate the feasibility and safety of intracorporeal anastomos...
Advancements in dermoscopy techniques have elucidated identifiable characteristics of melanoma which...
To examine the surgical outcome of transoral robotic thyroidectomy. Clinic data of total 30 cases ...
HER2 is an important prognostic and predictive biomarker in breast cancer. Its detection makes it po...
Patient undergoing R0 resection have the good survival advantage following surgery for recurrent rec...
For cochlear implant training and robotic cochlear implant experiments, the design method of scalabl...
OBJECTIVE: To develop a machine learning tool to integrate clinical data for the prediction of non-b...
MOTIVATION: Registration of histology images from multiple sources is a pressing problem in large-sc...