119 citations · 136 across the 3 of their papers we have counts for
4 papers
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images
Amirreza Mahbod, Gerald Schaefer, Benjamin Bancher +4
Nuclei instance segmentation plays an important role in the analysis of Hematoxylin and Eosin (H&E)-stained images. While supervised deep learning (DL)-based approaches represent t…
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…