119 citations · 341 across the 8 of their papers we have counts for
5 papers · 1 filter
Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification
Amirreza Mahbod, Rupert Ecker, Ramona Woitek
Accurate classification of skin lesions from dermatoscopic images is essential for diagnosis and treatment of skin cancer. In this study, we investigate the utility of a dermatolog…
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks
Amirreza Mahbod, Gerald Schaefer, Rupert Ecker +1
Pollen grain micrograph classification has multiple applications in medicine and biology. Automatic pollen grain image classification can alleviate the problems of manual categoris…
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification
Amirreza Mahbod, Philipp Tschandl, Georg Langs +2
Malignant melanoma (MM) is one of the deadliest types of skin cancer. Analysing dermatoscopic images plays an important role in the early detection of MM and other pigmented skin l…
Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification
Amirreza Mahbod, Gerald Schaefer, Chunliang Wang +3
Skin cancer is among the most common cancer types. Dermoscopic image analysis improves the diagnostic accuracy for detection of malignant melanoma and other pigmented skin lesions…
Skin Lesion Classification Using Hybrid Deep Neural Networks
Amirreza Mahbod, Gerald Schaefer, Chunliang Wang +2
Skin cancer is one of the major types of cancers with an increasing incidence over the past decades. Accurately diagnosing skin lesions to discriminate between benign and malignant…