"Super-Efficient Lung Nodule Classification Using Massive-Training ..."

Shogo Kodera et al. (2024)

> Home

Details and statistics

DOI: 10.1145/3655755.3655784

access: closed

type: Conference or Workshop Paper

metadata version: 2024-06-18

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ivsp/KoderaROJWA024
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ivsp/KoderaROJWA024
Shogo Kodera, Wahyu Rahmaniar, Hiroko Oshibe, Ze Jin, Takeyuki Watadani, Osamu Abe, Kenji Suzuki:
Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database. IVSP 2024: 213-220

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.