[HTML][HTML] Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images

R Kaur, H GholamHosseini, R Sinha, M Lindén - BMC Medical Imaging, 2022 - Springer
Background Melanoma is the most dangerous and aggressive form among skin cancers,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …

Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images.

R Kaur, H GholamHosseini, R Sinha… - BMC Medical …, 2022 - search.ebscohost.com
Background: Melanoma is the most dangerous and aggressive form among skin cancers,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …

Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images.

R Kaur, H GholamHosseini, R Sinha… - BMC Medical …, 2022 - europepmc.org
Background Melanoma is the most dangerous and aggressive form among skin cancers,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …

Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images

R Kaur, H GholamHosseini, R Sinha… - BMC medical …, 2022 - pubmed.ncbi.nlm.nih.gov
Background Melanoma is the most dangerous and aggressive form among skin cancers,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …

[HTML][HTML] Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images

R Kaur, H GholamHosseini, R Sinha… - BMC Medical …, 2022 - ncbi.nlm.nih.gov
Background Melanoma is the most dangerous and aggressive form among skin cancers,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …

Automatic Lesion Segmentation Using Atrous Convolutional Deep Neural Networks in Dermoscopic Skin Cancer Images

R Kaur, H GholamHosseini, R Sinha - 2021 - researchsquare.com
Background: Among skin cancers, melanoma is the most dangerous and aggressive form,
exhibiting a high mortality rate worldwide. Biopsy and histopatholog-ical analysis are …

Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images

R Kaur, H GholamHosseini, R Sinha… - BMC Medical …, 2022 - search.proquest.com
Background Melanoma is the most dangerous and aggressive form among skin cancers,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …

[HTML][HTML] Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images

R Kaur, H GholamHosseini… - BMC Medical …, 2022 - bmcmedimaging.biomedcentral.com
Melanoma is the most dangerous and aggressive form among skin cancers, exhibiting a
high mortality rate worldwide. Biopsy and histopathological analysis are standard …

Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images

R Kaur, H GholamHosseini, R Sinha… - BMC Medical Imaging, 2022 - diva-portal.org
Background Melanoma is the most dangerous and aggressive form among skin cancers,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …

[PDF][PDF] Automatic Lesion Segmentation Using Atrous Convolutional Deep Neural Networks in Dermoscopic Skin Cancer Images

R Kaur, H GholamHosseini, R Sinha - scholar.archive.org
Background: Among skin cancers, melanoma is the most dangerous and aggressive form,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …