Image processing algorithm developed for the identification <i>of Schistosoma haematobium</i> eggs in urine sediment based on image capture on-chip using simple webcam. by Ewert Linder (376141)

CONSORT flow diagram of OCT imaging observations on flap creation methods for sub-Bowman′s keratomileusis (SBK). by Zhe Xu (127066)

Subjects:

The Impact of Flap Creation Methods for Sub-Bowman’s Keratomileusis (SBK) on the Central Thickness of Bowman’s Layer by Zhe Xu (127066)

Subjects:

UHR-OCT measured changes of central corneal sublayer thicknesses between visits after sub-Bowman′s keratomileusis (SBK). by Zhe Xu (127066)

Subjects:

UHR-OCT images taken before and after sub-Bowman′s keratomileusis (SBK) surgery in the Moria and FEMTO groups. by Zhe Xu (127066)

Subjects:

Thickness changes in the corneal sublayers of the Moria and FEMTO groups. by Zhe Xu (127066)

Subjects:

UHR-OCT measurements of central corneal sublayer thicknesses before and after sub-Bowman′s keratomileusis (SBK). by Zhe Xu (127066)

Subjects:

UHR-OCT image illustration of the image processing procedure. by Zhe Xu (127066)

Subjects:

Cellogram: On-the-Fly Traction Force Microscopy by Tobias Lendenmann (2623534)

Subjects:

Cellogram: On-the-Fly Traction Force Microscopy by Tobias Lendenmann (2623534)

Subjects:

Cellogram: On-the-Fly Traction Force Microscopy by Tobias Lendenmann (2623534)

Subjects:

Cellogram: On-the-Fly Traction Force Microscopy by Tobias Lendenmann (2623534)

Subjects:

Cellogram: On-the-Fly Traction Force Microscopy by Tobias Lendenmann (2623534)

Subjects:

A representative HeLa image, semantic segmentation results overlaid on the filtered image and the ground truth. by Cefa Karabağ (8320152)

Subjects:

Graphical illustration of the five algorithms compared in this work. by Cefa Karabağ (8320152)

Subjects:

S1 Code - by Cefa Karabağ (8320152)

Subjects:

Illustration of the pixel-based metrics. by Cefa Karabağ (8320152)

Subjects:

Illustration of the effects of low-pass filtering on one representative image of a HeLa cell. by Cefa Karabağ (8320152)

Subjects:

Illustration of intermediate steps of the proposed segmentation algorithm. by Cefa Karabağ (8320152)

Subjects:

Metrics used for comparison between image-processing algorithm and four pre-trained deep learning architectures—VGG16, ResNet18, Inception-ResNet-v2, and U-Net for semantic segmentation of HeLa cell imaged with Electron Microscopy (EM). by Cefa Karabağ (8320152)

Subjects: