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Related papers: Sickle Cell Disease Severity Prediction from Perco…

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Sickle cell anemia, which is characterized by abnormal erythrocyte morphology, can be detected using microscopic images. Computational techniques in medicine enhance the diagnosis and treatment efficiency. However, many computational…

Computer Vision and Pattern Recognition · Computer Science 2024-12-25 Victor Júnio Alcântara Cardoso , Rodrigo Moreira , João Fernando Mari , Larissa Ferreira Rodrigues Moreira

The shape of erythrocytes or red blood cells is altered in several pathological conditions. Therefore, identifying and quantifying different erythrocyte shapes can help diagnose various diseases and assist in designing a treatment strategy.…

Quantitative Methods · Quantitative Biology 2023-05-04 Manish Bhatia , Balram Meena , Vipin Kumar Rathi , Prayag Tiwari , Amit Kumar Jaiswal , Shagaf M Ansari , Ajay Kumar , Pekka Marttinen

Cell detection and cell type classification from biomedical images play an important role for high-throughput imaging and various clinical application. While classification of single cell sample can be performed with standard computer…

Image and Video Processing · Electrical Eng. & Systems 2019-12-17 Wei Qiu , Jiaming Guo , Xiang Li , Mengjia Xu , Mo Zhang , Ning Guo , Quanzheng Li

Proliferative sickle cell retinopathy (PSCR) is the most important ocular manifestation of sickle cell disease (SCD), but understanding of its pathophysiology remains incomplete. Red blood cell (RBC) deformability has been identified as a…

Sickle Cell Disease (SCD) is a hereditary disorder of red blood cells in humans. Complications such as pain, stroke, and organ failure occur in SCD as malformed, sickled red blood cells passing through small blood vessels get trapped.…

Reliable cell segmentation and classification from biomedical images is a crucial step for both scientific research and clinical practice. A major challenge for more robust segmentation and classification methods is the large variations in…

Cell Behavior · Quantitative Biology 2017-10-31 Mo Zhang , Xiang Li , Mengjia Xu , Quanzheng Li

Red blood cell (RBC) deformation is the consequence of several diseases, including sickle cell anemia, which causes recurring episodes of pain and severe pronounced anemia. Monitoring patients with these diseases involves the observation of…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Wilkie Delgado-Font , Miriela Escobedo-Nicot , Manuel González-Hidalgo , Silena Herold-Garcia , Antoni Jaume-i-Capó , Arnau Mir

Sickle cell disease (SCD) remains a critical global health issue, with high child mortality in low-resource regions. Early screening and diagnosis is essential for improving health outcomes, but conventional screening methods are unsuitable…

Medical Physics · Physics 2025-10-06 Nakul Sridhar , Meiou Song , Michael H. B. Stowell , Kathryn L. Hassell , Xiaoyun Ding

In this work we propose an approach to select the classification method and features, based on the state-of-the-art, with best performance for diagnostic support through peripheral blood smear images of red blood cells. In our case we used…

Machine Learning · Computer Science 2020-10-12 Nataša Petrović , Gabriel Moyà-Alcover , Antoni Jaume-i-Capó , Manuel González-Hidalgo

Celiac Disease (CD) is a chronic autoimmune disease that affects the small intestine in genetically predisposed children and adults. Gluten exposure triggers an inflammatory cascade which leads to compromised intestinal barrier function. If…

Image and Video Processing · Electrical Eng. & Systems 2019-10-09 Rasoul Sali , Lubaina Ehsan , Kamran Kowsari , Marium Khan , Christopher A. Moskaluk , Sana Syed , Donald E. Brown

Hereditary hemolytic anemias are genetic disorders that affect the shape and density of red blood cells. Genetic tests currently used to diagnose such anemias are expensive and unavailable in the majority of clinical labs. Here, we propose…

Computer Vision and Pattern Recognition · Computer Science 2021-03-18 Ario Sadafi , Lucía María Moya Sans , Asya Makhro , Leonid Livshits , Nassir Navab , Anna Bogdanova , Shadi Albarqouni , Carsten Marr

This work presents a novel approach for selecting the optimal ensemble-based classification method and features with a primarly focus on achieving generalization, based on the state-of-the-art, to provide diagnostic support for Sickle Cell…

Machine Learning · Computer Science 2026-01-21 Nataša Petrović , Gabriel Moyà-Alcover , Antoni Jaume-i-Capó , Jose Maria Buades Rubio

Sickle cell disease (SCD) is a major public health priority throughout much of the world, affecting millions of people. In many regions, particularly those in resource-limited settings, SCD is not consistently diagnosed. In Africa, where…

Skin conditions are reported the 4th leading cause of nonfatal disease burden worldwide. However, given the colossal spectrum of skin disorders defined clinically and shortage in dermatology expertise, diagnosing skin conditions in a timely…

Computer Vision and Pattern Recognition · Computer Science 2020-07-15 Junyan Wu , Hao Jiang , Xiaowei Ding , Anudeep Konda , Jin Han , Yang Zhang , Qian Li

Objective: Glaucoma is the second leading cause of blindness worldwide. Glaucomatous progression can be easily monitored by analyzing the degeneration of retinal ganglion cells (RGCs). Many researchers have screened glaucoma by measuring…

Image and Video Processing · Electrical Eng. & Systems 2020-11-22 Hina Raja , Taimur Hassan , Muhammad Usman Akram , Naoufel Werghi

Human immune system contains white blood cells (WBC) that are good indicator of many diseases like bacterial infections, AIDS, cancer, spleen, etc. White blood cells have been sub classified into four types: monocytes, lymphocytes,…

Image and Video Processing · Electrical Eng. & Systems 2024-10-15 Rabia Asghar , Arslan Shaukat , Usman Akram , Rimsha Tariq

Deep convolutional neural networks (CNNs) have dominated many computer vision domains because of their great power to extract good features automatically. However, many deep CNNs-based computer vison tasks suffer from lack of training data…

Computer Vision and Pattern Recognition · Computer Science 2018-08-21 Jie Guo , Tingfa Xu , Shenwang Jiang , Ziyi Shen

Skin cancer (SC) stands out as one of the most life-threatening forms of cancer, with its danger amplified if not diagnosed and treated promptly. Early intervention is critical, as it allows for more effective treatment approaches. In…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Ramin Mousa , Saeed Chamani , Mohammad Morsali , Mohammad Kazzazi , Parsa Hatami , Soroush Sarabi

Sickle Cell Disease (SCD) is one of the most common genetic diseases in the world. Splenomegaly (abnormal enlargement of the spleen) is frequent among children with SCD. If left untreated, splenomegaly can be life-threatening. The current…

Image and Video Processing · Electrical Eng. & Systems 2020-09-08 Zhen Yuan , Esther Puyol-Anton , Haran Jogeesvaran , Catriona Reid , Baba Inusa , Andrew P. King

Focal cortical dysplasia (FCD) is a leading cause of drug-resistant focal epilepsy, which can be cured by surgery. These lesions are extremely subtle and often missed even by expert neuroradiologists. "Ground truth" manual lesion masks are…

Image and Video Processing · Electrical Eng. & Systems 2023-06-06 Hannah Spitzer , Mathilde Ripart , Abdulah Fawaz , Logan Z. J. Williams , MELD project , Emma Robinson , Juan Eugenio Iglesias , Sophie Adler , Konrad Wagstyl
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