425 citations · 841 across the 13 of their papers we have counts for
8 papers · 1 filter
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation
Kunhao Yuan, Gerald Schaefer, Yu-Kun Lai +4
Weakly supervised semantic segmentation (WSSS) has gained significant popularity since it relies only on weak labels such as image level annotations rather than pixel level annotat…
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…
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…
Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods
M. Emre Celebi, Quan Wen, Sae Hwang +2
Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation…
Lesion Border Detection in Dermoscopy Images
M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer +1
Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human in…