Results 61 to 70 of about 656,371 (370)
A comprehensive review on Plant Leaf Disease detection using Deep learning [PDF]
arXiv, 2023 Leaf disease is a common fatal disease for plants. Early diagnosis and detection is necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting leaf disease, several automated systems have already been developed using different plant pathology imaging modalities. This paper provides a systematic review of the literature
arxiv
Cancer Special Issue: Early detection and minimal residual disease.
PLoS Medicine, 2021 Beryne Odeny discusses PLOS Medicine's Special Issue on early cancer detection and minimal residual disease.
Beryne Odeny
doaj +1 more source
Automatic laser steering for middle ear surgery [PDF]
arXiv, 2022 This paper deals with the control of laser spot in the context of minimally invasive surgery of the middle ear, e.g., cholesteatoma removal. More precisely, our work is concerned with the exhaustive burring of residual infected cells after primary mechanical resection of the pathological tissues since the latter cannot guarantee the treatment of all ...
arxiv
Flowcytometric and DNA Analysis Minimal Residual Disease (MRD) in Childhood B-Lineage lymphoblastic leukemia [PDF]
International Journal of Hematology-Oncology and Stem Cell Research, 2005 Background: Induction Chemotherapy for Acute Lymphoblastic Leukemia achieves complete remis¬sion in over 90% of children. It is apparent therefore that many patients in clinical remission and with¬out residual disease detectable by ...
Vossough P +8 more
doaj +2 more sources
Flow cytometric minimal residual disease assessment in multiple myeloma [PDF]
, 2017 W świetle wysokiej skuteczności nowych metod leczenia szpiczaka plazmocytowego oraz zwiększającego się odsetka osiąganych całkowitych remisji (CR) ocena minimalnej choroby resztkowej (MRD) jest obecnie istotną metodą określającą głębokość odpowiedzi ...
Hajek, Roman, Rihova, Lucie
core +2 more sources
Blood, 2018 Measurable residual disease (MRD; previously termed minimal residual disease) is an independent, postdiagnosis, prognostic indicator in acute myeloid leukemia (AML) that is important for risk stratification and treatment planning, in conjunction with ...
G. Schuurhuis +23 more
semanticscholar +1 more source
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer [PDF]
arXiv, 2023 In the treatment of ovarian cancer, precise residual disease prediction is significant for clinical and surgical decision-making. However, traditional methods are either invasive (e.g., laparoscopy) or time-consuming (e.g., manual analysis). Recently, deep learning methods make many efforts in automatic analysis of medical images.
arxiv
An adaptive superconvergent finite element method based on local residual minimization [PDF]
, 2022 We introduce an adaptive superconvergent finite element method for a class of mixed formulations to solve partial differential equations involving a diffusion term. It combines a superconvergent postprocessing technique for the primal variable with an adaptive finite element method via residual minimization.
arxiv +1 more source
Transforming Ovarian Cancer Care by Targeting Minimal Residual Disease [PDF]
, 2023 Frontline treatment and resultant cure rates in patients with advanced ovarian cancer have changed little over the past several decades. Here, we outline a multidisciplinary approach aimed at gaining novel therapeutic insights by focusing on the poorly ...
Aghajanian, Carol +25 more
core +1 more source
Blood Cancer Journal, 2020 Detecting persistent minimal residual disease (MRD) allows the identification of patients with an increased risk of relapse and death. In this study, we have evaluated MRD 3 months after transplantation in 106 myeloma patients using a commercial next ...
A. Medina +24 more
semanticscholar +1 more source