Automated strabismus detection and classification using deep learning analysis of facial images by Mahsa Yarkheir, Motahhareh Sadeghi, Hamed Azarnoush, Mohammad Reza Akbari, Elias Khalili Pour

“…The dataset for binary classification consisted of 4,257 facial images, including 1,599 normal cases and 2,658 strabismus cases, while the multi-class classification involved 480 strabismic and 142 non-strabismic images. …”
Get full text

Corrigendum to “Processing Methods for Digital Image Data Based on the Geographic Information System” by Xi Wang, Taizheng Chen, Dongwei Li, Shiqi Yu

Get full text

Advanced Imaging Techniques for Assessing Fat, Iron, and Fibrosis in Chronic Liver Disease by Sabarish Narayanasamy, Manuela Franca, Ilkay S. Idilman, Meng Yin, Sudhakar K. Venkatesh

“…The widely used imaging techniques include ultrasound, computed tomography and magnetic resonance imaging. …”
Get full text

Interpretable Deep Learning for Pneumonia Detection Using Chest X-Ray Images by Jovito Colin, Nico Surantha

“…In contrast, Adversarial Training, CAMs, and the Spatial Attention Mechanism showed trade-offs between interpretability and performance, each highlighting unique image features but with some impact on specificity and accuracy.…”
Get full text

Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks by Matheus B. Rocha, Sebastiao Pratavieira, Renan Souza Vieira, Juliana Duarte Geller, Amanda Lima Mutz Stein, Fernanda Sales Soares de Oliveira, Tania R.P. Canuto, Luciana de Paula Vieira, Renan Rossoni, Maria C.S. Santos, Patricia H.L. Frasson, Renato A. Krohling

Subjects: Get full text

Philip Coleman and Stephen Matterson, eds.  ‘Forever Young’? The Changing Images of America. by Yiorgos Kalogeras

Get full text

Dichroism-sensitive photoacoustic imaging for in-depth estimation of the optic axis in fibrous tissue by Camilo Cano, Amir Gholampour, Marc van Sambeek, Richard Lopata, Min Wu

Subjects: “…Photoacoustic imaging…”
Get full text

Multi-Resolution Wavelet-Transformed Image Analysis of Histological Sections of Breast Carcinomas by Hae-Gil Hwang, Hyun-Ju Choi, Byeong-Il Lee, Hye-Kyoung Yoon, Sang-Hee Nam, Heung-Kook Choi

“…Multi-resolution images of histological sections of breast cancer tissue were analyzed using texture features of Haar- and Daubechies transform wavelets. …”
Get full text

Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks by Shaohui Du, Zhenghan Chen, Haoyan Wu, Yihong Tang, YuanQing Li

“…The process of displaying images requires a lot of time and labor, and the time-consuming labor is inefficient. …”
Get full text

UV Hyperspectral Imaging and Chemometrics for Honeydew Detection: Enhancing Cotton Fiber Quality by Mohammad Al Ktash, Mona Knoblich, Frank Wackenhut, Marc Brecht

Subjects: “…hyperspectral imaging…”
Get full text

Discretization of a mathematical model for image analysis based on the optics of spiral beams by S.A. Kishkin, S.P. Kotova

Subjects: Get full text

Image establishment of a higher education institution lecturer in the new educational environment by O. A. Tettsoeva, E. M. Tettsoeva

Subjects: “…image…”
Get full text

The role, image and responsibilities of the midwife in Bohemia (19th and 20th Century) by Milena Lenderová

“… Following article reflects the social role, image and responsibilities of the midwives in Bohemia in the mid nineteenth up to the mid twentieth century, the period during which the position and image of the midwives significantly changed. …”
Get full text

Note sur les sur les droits de diffusion des images by André Gunthert

Get full text

Construction of Target Controllable Image Segmentation Model Based on Homotopy Perturbation Technology by Shu-Li Mei

“…So, the bottleneck of the variational model on image segmentation is the lower efficiency of the algorithm. …”
Get full text

Optimized Design of 3D Spatial Images Based on Kalman Filter Equation by Wei Shan

“…The algorithm takes the first row of the matrix image as the initial parameter of the Kalman filter prediction equation and then takes the first row of the recovered image as the initial parameter of the second Kalman filter prediction equation. …”
Get full text

Steganographer identification of JPEG image based on feature selection and graph convolutional representation by Qianqian ZHANG, Yi ZHANG, Hao LI, Yuanyuan MA, Xiangyang LUO

Subjects: Get full text

Segmentation of Pulmonary Vascular Trees from Thoracic 3D CT Images by Hidenori Shikata, Geoffrey McLennan, Eric A. Hoffman, Milan Sonka

“…International Journal of Biomedical Imaging…”
Get full text

Lung Nodule Detection For CT-Guided Biopsy Images Using Deep Learning by B. Prashanthi, S.P. Angelin Claret

“…The results from applying the proposed Convolutional Neural Network model are promising, with an accuracy of 99.3% in malignancy detection, signifying a notable advancement in the precise diagnosis of lung cancer through non-invasive imaging techniques. Beyond academia, the findings of this study have significant implications for real-world healthcare settings. …”
Get full text

Design of a 128‐channel transceiver hardware for medical ultrasound imaging systems by Jayaraj Kidav, Perumal M. Pillai, Deepak V, Sreejeesh S. G

Subjects: Get full text