A Multi-Model Deep Learning Framework and Algorithms for Survival Rate Prediction of Lung Cancer Subtypes With Region of Interest Using Histopathology Imagery

Lung cancer has been causing death at alarming rates across the globe. Identification of cancer subtypes and prediction of patient survival rate can significantly enhance treatment management. The existing methodologies on the two aspects mentioned above have limitations in terms of accuracy. In thi...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Mattakoyya Aharonu, Lokeshkumar Ramasamy
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	Artificial intelligence deep learning lung cancer research lung cancer survival rate prediction lung cancer subtype classification
Linkit:	https://ieeexplore.ieee.org/document/10729623/
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