arXiv Open Access 2024

Assessing Cardiomegaly in Dogs Using a Simple CNN Model

Nikhil Deekonda

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Abstrak

This paper introduces DogHeart, a dataset comprising 1400 training, 200 validation, and 400 test images categorized as small, normal, and large based on VHS score. A custom CNN model is developed, featuring a straightforward architecture with 4 convolutional layers and 4 fully connected layers. Despite the absence of data augmentation, the model achieves a 72\% accuracy in classifying cardiomegaly severity. The study contributes to automated assessment of cardiac conditions in dogs, highlighting the potential for early detection and intervention in veterinary care.

Topik & Kata Kunci

cs.CV cs.LG eess.IV

Penulis (1)

Nikhil Deekonda

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Deekonda, N. (2024). Assessing Cardiomegaly in Dogs Using a Simple CNN Model. https://arxiv.org/abs/2407.06092

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Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓