Latest AI and machine learning research in pathology for healthcare professionals.
Histopathological image classification is one of the most important steps for disease diagnosis. We proposed a method for multiclass histopathological image classification based on deep convolutional neural network referred to as coding network. It can gain better representation for the histopathological image than only using coding network. The main process is that training a deep convolutional n...
Cesarean scar ectopic pregnancies and molar pregnancies are two very rare obstetric pathologies. In both cases, serious morbidities are involved that require careful management. The coexistence of the two clinical conditions is far less common and there are a limited number of cases in the literature. In this case report, a 34-year-old patient with previous cesarean section was diagnosed as having...
T-cells, second only to macrophages, are often considered as the potential cells involved in debris-related failure of arthroplasty. Here, we assessed...
The noninvasive, fast acquisition of quantitative phase maps using digital holographic microscopy (DHM) allows tracking of rapid cellular motility on ...
Pathological evaluation of tumor tissue is pivotal for diagnosis in cancer patients and automated image analysis approaches have great potential to in...
Heart disease is the leading cause of mortality in the U.S. with approximately 610,000 people dying every year. Effective therapies for many cardiac d...
BACKGROUND: Convective radiofrequency water vapor thermal therapy with the Rezūm system is a relatively new treatment for benign prostatic hyperplasia...
Prolactinoma is a benign tumor of the pituitary gland that rarely occurs in children and adolescents; thus, the clinical spectrum and long-term progno...
Lactotroph adenoma, also called prolactinoma, is the most common pituitary tumor but little is known about its pathogenesis. Mouse models of prolactin...
BACKGROUND: Physiological measures per lung parenchyma, rather than per lung volume, sometimes reflect the disease status. PET images of the lung, whi...
We present a patient with advanced AIDS admitted with recurrent shock of unclear aetiology, fevers, altered mental status and refractory cytopenias. H...
Machine learning is a powerful tool that has previously been used to classify schizophrenia (SZ) patients from healthy controls (HC) using magnetic re...
Here in, a carbon dots (CDs)-modified chitosan (CH) based biosensing platform was fabricated for vitamin D detection. Carbon dots were synthesized thr...
Estradiol inhibits milk production in dairy cows. The present study evaluated the effect of 17β-estradiol (E2) injections on prolactin (PRL) secretion...
Reduced graphene oxide-supported nanoscale zero-valent iron (nZVI/rGO) magnetic nanocomposites were prepared and then applied in the Cu(II) removal fr...
BACKGROUND: To distinguish follicular adenoma (FA) and follicular carcinoma (FC) of thyroid in fine needle aspiration cytology (FNAC) is a challenging...
Current cancer diagnosis employs various nuclear morphometric measures. While these have allowed accurate late-stage prognosis, early diagnosis is sti...
Preoperative prediction of breast volume is important in the planning of breast reconstructive surgery. In this study, we prospectively estimated the...
Cancers are regarded as malignant proliferations of tumor cells present in many tissues and organs, which can severely curtail the quality of human li...
Background/aim: Primary hyperparathyroidism (PHPT) is characterized by increased calcium (Ca) and parathyroid hormone (PTH) levels. Surgical removal o...