Deep learning in medical imaging and radiation therapy
The goals of this review paper on deep learning (DL) in medical imaging and radiation
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
Opportunities and obstacles for deep learning in biology and medicine
T Ching, DS Himmelstein… - Journal of the …, 2018 - royalsocietypublishing.org
Deep learning describes a class of machine learning algorithms that are capable of
combining raw inputs into layers of intermediate features. These algorithms have recently …
combining raw inputs into layers of intermediate features. These algorithms have recently …
Melanoma diagnosis using deep learning techniques on dermatoscopic images
MF Jojoa Acosta, LY Caballero Tovar… - BMC Medical …, 2021 - Springer
Background Melanoma has become more widespread over the past 30 years and early
detection is a major factor in reducing mortality rates associated with this type of skin cancer …
detection is a major factor in reducing mortality rates associated with this type of skin cancer …
Automatic skin lesion segmentation using deep fully convolutional networks with jaccard distance
Y Yuan, M Chao, YC Lo - IEEE transactions on medical …, 2017 - ieeexplore.ieee.org
Automatic skin lesion segmentation in dermoscopic images is a challenging task due to the
low contrast between lesion and the surrounding skin, the irregular and fuzzy lesion borders …
low contrast between lesion and the surrounding skin, the irregular and fuzzy lesion borders …
A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
A convolutional neural network framework for accurate skin cancer detection
K Thurnhofer-Hemsi, E Domínguez - Neural Processing Letters, 2021 - Springer
Skin diseases have become a challenge in medical diagnosis due to visual similarities.
Although melanoma is the best-known type of skin cancer, there are other pathologies that …
Although melanoma is the best-known type of skin cancer, there are other pathologies that …
Skin disease diagnosis with deep learning: A review
Skin cancer is one of the most threatening diseases worldwide. However, diagnosing skin
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …
A holistic overview of deep learning approach in medical imaging
Medical images are a rich source of invaluable necessary information used by clinicians.
Recent technologies have introduced many advancements for exploiting the most of this …
Recent technologies have introduced many advancements for exploiting the most of this …
[HTML][HTML] Deep learning in dermatology: a systematic review of current approaches, outcomes, and limitations
Artificial intelligence (AI) has recently made great advances in image classification and
malignancy prediction in the field of dermatology. However, understanding the applicability …
malignancy prediction in the field of dermatology. However, understanding the applicability …
Skin lesion classification by ensembles of deep convolutional networks and regularly spaced shifting
K Thurnhofer-Hemsi, E López-Rubio… - IEEE …, 2021 - ieeexplore.ieee.org
Skin lesions are caused due to multiple factors, like allergies, infections, exposition to the
sun, etc. These skin diseases have become a challenge in medical diagnosis due to visual …
sun, etc. These skin diseases have become a challenge in medical diagnosis due to visual …