Advancements in dextran-based nanocarriers for treatment and imaging of breast cancer

MS Khan, BHJ Gowda, N Nasir, S Wahab… - International journal of …, 2023 - Elsevier
Breast cancer is the most prevalent type of cancer worldwide, particularly among women,
with substantial side effects after therapy. Despite the availability of numerous therapeutic …

Does breast-conserving surgery with radiotherapy have a better survival than mastectomy? A meta-analysis of more than 1,500,000 patients

G De la Cruz Ku, M Karamchandani… - Annals of Surgical …, 2022 - Springer
Background There have been conflicting studies reporting on survival advantages between
breast-conserving surgery with radiotherapy (BCS) in comparison with mastectomy. Our aim …

Extensive review on breast cancer its etiology, progression, prognostic markers, and treatment

H Swaminathan, K Saravanamurali, SA Yadav - Medical Oncology, 2023 - Springer
As the most frequent and vulnerable malignancy among women, breast cancer universally
manifests a formidable healthcare challenge. From a biological and molecular perspective, it …

Comparison of the diagnostic performance of Magnetic Resonance Imaging (MRI), ultrasound and mammography for detection of breast cancer based on tumor type …

N Aristokli, I Polycarpou, SC Themistocleous… - Radiography, 2022 - Elsevier
Objective Breast cancer is the most common malignancy in women. Mammography and
ultrasound are commonly used in a clinical environment as the first choice for breast cancer …

Deep learning classification of breast cancer tissue from terahertz imaging through wavelet synchro-squeezed transformation and transfer learning

H Liu, N Vohra, K Bailey, M El-Shenawee… - Journal of Infrared …, 2022 - Springer
Terahertz imaging and spectroscopy is an exciting technology that has the potential to
provide insights in medical imaging. Prior research has leveraged statistical inference to …

Volatile organic compounds analysis as a potential novel screening tool for breast cancer: A systematic review

M Leemans, P Bauër, V Cuzuel… - Biomarker …, 2022 - journals.sagepub.com
Introduction: An early diagnosis is crucial in reducing mortality among people who have
breast cancer (BC). There is a shortfall of characteristic early clinical symptoms in BC …

Quantum machine learning in prediction of breast cancer

JB Prajapati, H Paliwal, BG Prajapati, S Saikia… - … a shift from bits to qubits, 2023 - Springer
Abstract Machine learning (ML) is the most promising subset of artificial intelligence.
Quantum computing is prevalent for fast problem-solving approaches. The complex …

Applications of computational methods in biomedical breast cancer imaging diagnostics: a review

K Aruleba, G Obaido, B Ogbuokiri, AO Fadaka… - Journal of …, 2020 - mdpi.com
With the exponential increase in new cases coupled with an increased mortality rate, cancer
has ranked as the second most prevalent cause of death in the world. Early detection is …

Breast cancer: Classification of suspicious regions in digital mammograms based on capsule network

KB Soulami, N Kaabouch, MN Saidi - Biomedical Signal Processing and …, 2022 - Elsevier
Mammography screening is one of the common techniques that help identify suspicious
masses' malignancy of breast cancer at an early stage. Yet, the early diagnosis of masses in …

Computer-aided breast cancer diagnosis: Comparative analysis of breast imaging modalities and mammogram repositories

P Oza, P Sharma, S Patel, P Kumar - Current medical imaging, 2023 - ingentaconnect.com
The accurate assessment or diagnosis of breast cancer depends on image acquisition and
image analysis and interpretation. The expert radiologist makes image interpretation, and …