DenseNet201
PulseAugur coverage of DenseNet201 — every cluster mentioning DenseNet201 across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
-
AI framework improves appendicitis grading from ultrasound images
Researchers have developed AppendiGrade, a deep learning framework designed to improve the grading of appendicitis from ultrasound images. The system utilizes four pre-trained models, including InceptionV3, which achiev…
-
Deep learning model predicts rTMS depression therapy outcomes with 93.6% accuracy
Researchers have developed a novel deep learning model to predict the effectiveness of repetitive transcranial magnetic stimulation (rTMS) therapy for depression. By converting electroencephalography (EEG) signals into …
-
AI explanation stability claims scientifically invalid without cross-method validation, study finds
A new position paper argues that claims about the stability of AI model explanations are scientifically invalid unless validated across multiple methods. Experiments with DenseNet201, ResNet50V2, and InceptionV3 showed …
-
Deep Learning Models Achieve High Accuracy in Plant Disease Classification
Researchers have developed advanced deep learning frameworks for classifying plant diseases from leaf images, achieving high accuracy rates. One study focused on lemon leaf disease, utilizing ensemble models like Incept…
-
AI models advance plant disease detection with new datasets and efficient distillation
Researchers have developed new methods for plant leaf disease classification to aid in early detection and treatment. One approach involves training a new base model using the DenseNet201 architecture on a custom datase…
-
AI identifies writers of historical Arabic manuscripts with high accuracy
Researchers have developed a Convolutional Neural Network (CNN) with attention mechanisms to identify writers of historical Arabic manuscripts. The study, using the Muharaf dataset, expanded writer labels and establishe…