Identifying pathological slices of gastric cancer via deep learning.

Background: The accuracy of histopathology diagnosis largely depends on the pathologist's experience. It usually takes over 10 years to cultivate a senior pathologist, and small numbers of them lead to a high workload for those available. Meanwhile, inconsistent diagnostic results may arise among different pathologists, especially in complex cases, because diagnosis based on morphology is subjective.

Analysis of the effects of cyproheptadine on bladder cancer through big data.

This study was designed to compare the efficacy of Cyproheptadine (CY) in patients with bladder cancer (BC) who received different therapeutic modalities. We used the database from a hospital in Taiwan for analysis. We included patients diagnosed as having bladder cancer from January 1, 2008, to December 31, 2017.

A pilot-study to assess the feasibility and acceptability of an Internet-based cognitive-behavior group therapy using video conference for patients with coronary artery heart disease.

Background: Many patients with coronary artery heart disease are unable to access traditional psychosocial rehabilitation conducted face to face due to excessive travel distance. Therefore, this study developed and assessed the feasibility and acceptability of an 8-week Internet-based cognitive-behavior group therapy program, described the patterns of use and measured change in risk factors.

Methods: This study adopted an online video conference system, JointNet, to maintain group interaction functions similar to face to face groups online, and also built an self-learning platform to deliver psychoeducation content and cognitive-behavior therapy related materials and homework.

Adaptive two-pass median filter based on support vector machines for image restoration.

In this letter, a novel adaptive filter, the adaptive two-pass median (ATM) filter based on support vector machines (SVMs), is proposed to preserve more image details while effectively suppressing impulse noise for image restoration. The proposed filter is composed of a noise decision maker and two-pass median filters. Our new approach basically uses an SVM impulse detector to judge whether the input pixel is noise.