Automated Skin Cancer Report Generation via a Knowledge-Distilled Vision-Language Model
Artificial Intelligence (AI)’s capacity to analyze dermoscopic images promises a groundbreaking leap in skin cancer diagnostics, offering exceptional accuracy and an effortlessly non-invasive image acquisition process. However, this immense potential, which has ignited widespread research...
Saved in:
| Main Authors: | Lawhori Chakrabarti, Boyu Zhang, Hengyi Tian, Aleksandar Vakanski, Min Xian |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11091320/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Penile Skin as a Rare Location of Melanoma in the Balkan Region: A Case Report
by: Jasna Gacic, et al.
Published: (2025-02-01) -
Synchronous melanomas: one on tattoo and one on healthy skin
by: Francesco Ricci, et al.
Published: (2025-02-01) -
Significant Nevi Regression Associated with Multiple Non-Metastatic Cutaneous Melanomas: A Case Report
by: Mislav Mokos, et al.
Published: (2025-04-01) -
Pigmented eccrine poroma on scalp simulating
melanoma
by: Bruno de Oliveira Barbosa, et al.
Published: (2021-06-01) -
Where Is Waldo?
by: Lilia Maria Lima deOliveira, et al.
Published: (2025-06-01)