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Article
Open AccessA hybrid CNN-Random Forest algorithm for bacterial spore segmentation and classification in TEM images
We present a new approach to segment and classify bacterial spore layers from Transmission Electron Microscopy (TEM) images using a hybrid Convolutional Neural Network (CNN) and Random Forest (RF) classifier a...
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Article
RD2A: densely connected residual networks using ASPP for brain tumor segmentation
The variations among shapes, sizes, and locations of tumors are obstacles for accurate automatic segmentation. U-Net is a simplified approach for automatic segmentation. Generally, the convolutional or the dil...
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Article
Dense Encoder-Decoder–Based Architecture for Skin Lesion Segmentation
Melanoma is one kind of dangerous cancer that has been increasing rapidly in the world. Initial diagnosis is essential to survival, but often the disease is diagnosed in the fatal stage. The rapid growth of sk...
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Article
Multi stream 3D hyper-densely connected network for multi modality isointense infant brain MRI segmentation
Automatic accurate segmentation of medical images has significant role in computer-aided diagnosis and disease treatment. The segmentation of cerebrospinal fluid (CSF), gray matter (GM), and white matter (WM) ...
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Article
Accuracy of CT chest without oral contrast for ruling out esophageal perforation using fluoroscopic esophagography as reference standard: a retrospective study
Esophageal perforation has a high mortality rate. Fluoroscopic esophagography (FE) is the procedure of choice for diagnosing esophageal perforation. However, FE can be difficult to perform in seriously ill pat...
