A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
Melanoma image classification based on MobileNetV2 network
Melanoma is one of the most common types of cancer that can lead to high mortality rates if
not detected early. Recent studies about deep learning methods show promising results in …
not detected early. Recent studies about deep learning methods show promising results in …
[HTML][HTML] Point cloud semantic segmentation of complex railway environments using deep learning
Safety of transportation networks is of utmost importance for our society. With the emergency
of digitalization, the railway sector is accelerating the automation in inventory and inspection …
of digitalization, the railway sector is accelerating the automation in inventory and inspection …
Brain tumor prediction on MR images with semantic segmentation by using deep learning network and 3D imaging of tumor region
G Karayegen, MF Aksahin - Biomedical Signal Processing and Control, 2021 - Elsevier
When it comes to medical image segmentation on brain MR images, using deep learning
techniques has a significant impact to predict tumor existence. Manual segmentation of a …
techniques has a significant impact to predict tumor existence. Manual segmentation of a …
A critical review of current imaging techniques to investigate water transfers in wood and biosourced materials
This review paper proposes a critical overview of experimental techniques and innovative
experimental methods to observe and deeply understand the migration of water inside wood …
experimental methods to observe and deeply understand the migration of water inside wood …
Dental-yolo: Alveolar bone and mandibular canal detection on cone beam computed tomography images for dental implant planning
In planning a mandibular posterior dental implant, identifying the exact location of the
alveolar bone (AB) and mandibular canal (MC) is essential to determine the height and …
alveolar bone (AB) and mandibular canal (MC) is essential to determine the height and …
RefineU-Net: Improved U-Net with progressive global feedbacks and residual attention guided local refinement for medical image segmentation
Motivated by the recent advances in medical image segmentation using a fully convolutional
network (FCN) called U-Net and its modified variants, we propose a novel improved FCN …
network (FCN) called U-Net and its modified variants, we propose a novel improved FCN …
[HTML][HTML] Ischemic stroke lesion segmentation using mutation model and generative adversarial network
Ischemic stroke lesion segmentation using different types of images, such as Computed
Tomography Perfusion (CTP), is important for medical and Artificial intelligence fields. These …
Tomography Perfusion (CTP), is important for medical and Artificial intelligence fields. These …
[PDF][PDF] Deteksi Penyakit Mata Pada Citra Fundus Menggunakan Convolutional Neural Network (CNN).
Abstrak Pada tahun 2020, terdapat 1, 1 milyar orang yang mengalami kehilangan
penglihatan di seluruh dunia. Jumlah ini diproyeksikan akan terus bertambah hingga …
penglihatan di seluruh dunia. Jumlah ini diproyeksikan akan terus bertambah hingga …
Yaru3DFPN: a lightweight modified 3D UNet with feature pyramid network and combine thresholding for brain tumor segmentation
Gliomas are the most common and aggressive form of all brain tumors, with a median
survival rate of fewer than two years, especially for the highest-grade glioma patient …
survival rate of fewer than two years, especially for the highest-grade glioma patient …