1 - 30 of 100k+
Top Neoplasm Computer Vision Models
The models below have been fine-tuned for various neoplasm detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own neoplasm detection model.
At the bottom of this page, we have guides on how to count neoplasms in images and videos.
by AITValley
656 images 77 classes
abrasions-ulcerations-and-physical-injuries abscess acne-cystic acquired-digital-fibrokeratoma acral-melanotic-macule acrochordon actinic-keratosis angioleiomyoma angioma arteriovenous-hemangioma atypical-spindle-cell-nevus-of-reed basal-cell-carcinoma basal-cell-carcinoma-nodular basal-cell-carcinoma-superficial benign-keratosis blastic-plasmacytoid-dendritic-cell-neoplasm blue-nevus cellular-neurothekeoma chondroid-syringoma clear-cell-acanthoma
142 images 18 classes
Atypia Atypical cells Cytoplasm Fragmented cells High grade carcinoma Increased thickness Mitotic nuclei Normal urothelium in biopsy Slightly enlarged nuclei Umbrella cells fat cells flat carcinoma-in-situ low grade papillary urothelial neoplasm muscle layer papillary urothelial tumor tumor cells invading the bladder tumor invading the bladder tumor invading the bladder mucosa
1 - 30 of 100k+