Deep learning-based transformation of H&E stained tissues into special stains

the effects of integrating cooperative learning into vocabulary learning of elementary school students

the purpose of the research is to examine if integrating cooperative learning into vocabulary learning helps to increase word recognition of students in an elementary school in iran. it tries to investigate whether cooperative learning approach enables students to improve their language learning. this research used stad (students team achievement division) as a cooperative model in this study. ...

Differential stains of insect tissues.

Context-Based Normalization of Histological Stains Using Deep Convolutional Features

While human observers are able to cope with variations in color and appearance of histological stains, digital pathology algorithms commonly require a wellnormalized setting to achieve peak performance, especially when a limited amount of labeled data is available. This work provides a fully automated, end-to-end learning-based setup for normalizing histological stains, which considers the text...

Operation Scheduling of MGs Based on Deep Reinforcement Learning Algorithm

: In this paper, the operation scheduling of Microgrids (MGs), including Distributed Energy Resources (DERs) and Energy Storage Systems (ESSs), is proposed using a Deep Reinforcement Learning (DRL) based approach. Due to the dynamic characteristic of the problem, it firstly is formulated as a Markov Decision Process (MDP). Next, Deep Deterministic Policy Gradient (DDPG) algorithm is presented t...

Special Stains in Interpretation of Liver Biopsies

Special histochemical stains are routinely used for the interpretation of liver biopsies. Most laboratories have standard protocols for liver biopsies so that special stains are automatically performed for these specimens without having to be specially ordered by the pathologist. The panel of special stains varies from laboratory to laboratory, depending on tumor versus non-tumor cases, or tran...