arXiv Open Access 2022

Producing Histopathology Phantom Images using Generative Adversarial Networks to improve Tumor Detection

Vidit Gautam

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Abstrak

Advance in medical imaging is an important part in deep learning research. One of the goals of computer vision is development of a holistic, comprehensive model which can identify tumors from histology slides obtained via biopsies. A major problem that stands in the way is lack of data for a few cancer-types. In this paper, we ascertain that data augmentation using GANs can be a viable solution to reduce the unevenness in the distribution of different cancer types in our dataset. Our demonstration showed that a dataset augmented to a 50% increase causes an increase in tumor detection from 80% to 87.5%

Topik & Kata Kunci

eess.IV cs.CV cs.LG

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Vidit Gautam

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Gautam, V. (2022). Producing Histopathology Phantom Images using Generative Adversarial Networks to improve Tumor Detection. https://arxiv.org/abs/2205.10691

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Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓