Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024) Medical Imaging and Computer-Aided Diagnosis /
This book aims to provide a collaborative platform for leading technology minds to exchange insights, foster interdisciplinary dialogue, and propel advancements in both medical imaging and computer-aided diagnosis. As technology evolves, a plethora of state-of-the-art human imaging devices have made...
I tiakina i:
| Kaituhi rangatōpū: | |
|---|---|
| Ētahi atu kaituhi: | , , |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
|
| Putanga: | 1st ed. 2025. |
| Rangatū: | Lecture Notes in Electrical Engineering,
1372 |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-981-96-3863-5 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- -- 1 Oral Cancer Classification using a Hybrid Attention-aided Deep Learning Model
- 2 Deep Learning Frameworks for Histopathological Image Processing in Colorectal Cancer Diagnostics
- 3 Improving Knee Osteoarthritis Detection through a Multitask Learning Method from 2D MRI Slices
- 4 Enhancing Diagnostic Accuracy in Fracture Identification on Musculoskeletal Radiographs Using Deep Learning: A Multi-Reader Retrospective Study, etc.