location: Current position: Home >> Scientific Research >> Paper Publications

Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Hits:

Date of Publication:2024-11-16

Journal:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume:15004 LNCS

Page Number:340-350

ISSN No.:0302-9743

Key Words:Cancer patients; Feature mining; Histopathological images; Learning frameworks; Lung Cancer; Multiple-instance learning; Multiple instances; Non small cell lung cancer; Novelty detection; Whole slide images

Pre One:Addressing Challenges of Incorporating Appearance Cues into Heuristic Multi-Object Tracker via a Novel Feature Paradigm

Next One:Vectorized Colorization of Icon Line Art Based on Closed Contour Extraction