Smart Tongue Diagnosis for Gastrointestinal Diseases using ResNet50
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| Format: | Recurso digital |
| Langue: | anglais |
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Zenodo
2025
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| _version_ | 1866901465174376448 |
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| author | Bhosale, Aishwarya Mohotkar, Dnyaneshwari Chavan, Swara Jadhav, Vaishnavi Kadam, Anjali |
| author_facet | Bhosale, Aishwarya Mohotkar, Dnyaneshwari Chavan, Swara Jadhav, Vaishnavi Kadam, Anjali |
| contents | <p><strong><em><span lang="EN-US">T</span><span lang="EN-US">ongue diagnosis has traditionally been a non-invasive method for detecting gastrointestinal (GI) disorders, widely practiced in Eastern medicine<span>. </span>This research explores the use of a fine-tuned ResNet50 model for tongue image classification to aid in the diagnosis of gastrointestinal (GI) disorders. The model was trained on labeled images focused on three conditions: fissure, constipation, and hyperacidity. The dataset was manually collected from patients with assistance from an Ayurvedic practitioner, including hospital visits and shared tongue images. Preprocessing and augmentation techniques were applied to enhance generalization.</span></em></strong></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15619537 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Smart Tongue Diagnosis for Gastrointestinal Diseases using ResNet50 Bhosale, Aishwarya Mohotkar, Dnyaneshwari Chavan, Swara Jadhav, Vaishnavi Kadam, Anjali tongue diagnosis, ResNet50, gastrointestinal diseases, medical imaging <p><strong><em><span lang="EN-US">T</span><span lang="EN-US">ongue diagnosis has traditionally been a non-invasive method for detecting gastrointestinal (GI) disorders, widely practiced in Eastern medicine<span>. </span>This research explores the use of a fine-tuned ResNet50 model for tongue image classification to aid in the diagnosis of gastrointestinal (GI) disorders. The model was trained on labeled images focused on three conditions: fissure, constipation, and hyperacidity. The dataset was manually collected from patients with assistance from an Ayurvedic practitioner, including hospital visits and shared tongue images. Preprocessing and augmentation techniques were applied to enhance generalization.</span></em></strong></p> |
| title | Smart Tongue Diagnosis for Gastrointestinal Diseases using ResNet50 |
| topic | tongue diagnosis, ResNet50, gastrointestinal diseases, medical imaging |
| url | https://doi.org/10.5281/zenodo.15619537 |