Won Sang Shim - JoVE Visualize

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Filters

Won Sang Shim

Showing results (1-10 of 3) with videos related to

Pageof 1

Sort By:

Scientific Reports|July 21, 2019

Wx: a neural network-based feature selection algorithm for transcriptomic dataSungsoo Park, Bonggun Shin, Won Sang Shim, et al.

Frontiers in Oncology|July 22, 2021

DeepCUBIT: Predicting Lymphovascular Invasion or Pathological Lymph Node Involvement of Clinical T1 Stage Non-Small Cell Lung Cancer on Chest CT Scan Using Deep Cubical Nodule Transfer Learning AlgorithmKyongmin Sarah Beck, Bomi Gil, Sae Jung Na, et al.

Cancers|July 20, 2021

DeepRePath: Identifying the Prognostic Features of Early-Stage Lung Adenocarcinoma Using Multi-Scale Pathology Images and Deep Convolutional Neural NetworksWon Sang Shim, Kwangil Yim, Tae-Jung Kim, et al.

Pageof 1

Search research articles

Showing results (1-10 of 3) with videos related to

Sort By:

Pageof 1

Scientific Reports|July 21, 2019

Wx: a neural network-based feature selection algorithm for transcriptomic dataSungsoo Park, Bonggun Shin, Won Sang Shim, et al.

Frontiers in Oncology|July 22, 2021

DeepCUBIT: Predicting Lymphovascular Invasion or Pathological Lymph Node Involvement of Clinical T1 Stage Non-Small Cell Lung Cancer on Chest CT Scan Using Deep Cubical Nodule Transfer Learning AlgorithmKyongmin Sarah Beck, Bomi Gil, Sae Jung Na, et al.

Cancers|July 20, 2021

DeepRePath: Identifying the Prognostic Features of Early-Stage Lung Adenocarcinoma Using Multi-Scale Pathology Images and Deep Convolutional Neural NetworksWon Sang Shim, Kwangil Yim, Tae-Jung Kim, et al.

Pageof 1